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Regression Analysis: Real Estatee Sales Prices and Distance to City
This regression analysis seeks to answer the question of how the sales price of Real Estate listed houses changes with the distance from the city. Does the sales price increase or decrease as the distance from the city increases or is there a relationship between the variables at all? Given the attraction of city living and the general trends of suburban house prices, it appears reasonable to hypothesize that the sales price of the houses will decrease as the location of the house moves further away from the city.
Raw Data from Real Estate Listings:
Key: Distance is measured in miles and Sales Price in thousands of dollars.
The regression line, which best illustrates the relationship between the two variables of the data set, takes the equation ? = b + ax. This equation is based on the least squares…
Its name tells us the criterion used to select the best fitting line, namely that the sum of the squares of the residuals should be least. In other words, the least squares regression equation is the line for which the sum of squared residuals is a minimum (Dallal, 2008).
Multiple regression - the general purpose of multiple is to learn more about the relationship between several independent variables and a dependent variable. For example, a real estate agent might record for each listing the size of the house in square feet, the number of bedrooms, the average income in the respective neighborhood, and a subjective rating of appeal of the house. As soon as this information is compiled for different houses it would be exciting to see whether these measures relate to the price for which a house is sold.
One good example for a simple linear regression analysis can…
egression Analysis and Business
ules of thumb, instinct, convention, and simple financial analysis are frequently no longer adequate for addressing such common decisions found in business such as make-versus-buy, facility site selection, and process redesign. Generally, the forces of competition are commanding a need for more efficient decision making at all levels in companies. "Decision analysts provide quantitative support for the decision-makers in all areas including engineers, analysts in planning offices and public agencies, project management consultants, manufacturing process planners, financial and economic analysts and experts supporting medical and technological diagnosis"(Tools for Decision Analysis: Analysis of isky Decisions, 2012).
Modeling for decision making comprises two distinct entities, one is the decision-maker and the other is the model-builder who is known as the analyst. The function of the analyst is to help the decision-maker in their decision-making process. Consequently, the analyst must be outfitted with more than a set of analytical…
References
Keener, B. (2011). Application of Regression Analysis in Business. Retrieved from http://www.ehow.com/about_6160819_application-regression-analysis-business.html
Tools for Decision Analysis: Analysis of Risky Decisions. (2012). Retrieved from http://home.ubalt.edu/ntsbarsh/opre640a/partix.htm
It has even moved into the legal and political realms, which focus on its ability to forecast information based on similar or manipulated environmental conditions (Sykes, 2012). It is often used in quantitative research methodologies, but also conserve as a way to test for reliability in mixed methods and qualitative studies using triangulation, or more than one method to prove the same results hold true (Dizikes, 2010). In this, the research suggests that "the investigator assembles data on the underlying variables of interest and employees regression to estimate the quantitative effect of the casual variables upon the variable that they influence" (Sykes, 2012). The type of regression used in any particular situation depends on the number of variables. Simple linear regression focuses on one dependent and one independent variable. From there, more complicated forms of aggression include a greater number of independent variables, like that of multiple regression, which is…
References
Dizikes, Peter. (2010). Explained: Regression analysis. MIT News. Web. http://web.mit.edu/newsoffice/2010/explained-reg-analysis-0316.html
Sykes, Alan O. (2012). An introduction to regression analysis. The Inaugural Coase Lecture. University of Chicago. Web. http://www.law.uchicago.edu/files/files/20.Sykes_.Regression.pdf
egression Analysis on etirement
Definition of egression
egression can be defined as a multipurpose and dominant arithmetical technique which is utilized to concurrently form the outcomes of numerous independent variables on one single dependent variable (for example, Cohen & Cohen, 1983; Fox, 1997; Pedhazur, 1997). The instantaneous assessment of independent variables is what makes it feasible or easier to better comprehend, calculate, and clarify a dependent variable; to guess their independent and collective effects; to discard unauthentic effects; to resolve more precisely the course and force of their outcomes; and to manage the likelihood of Type I errors.
Over the years, there have been many analysis made and researches done on the relationship of retirement and the incentives given i.e. pensions and social security provided. Most of these researches have been done in the perspective of a single-equation, reduced-form model, which are most commonly and regularly utilized in behavioral and…
Resources
Anderson, Patricia; Alan Gustman; and Thomas Steinmeier. 1999. "Trends in Male Labor Force
Participation and Retirement: Some Evidence on the Role of Pensions and Social Security in the 1970s and 1980s." Journal of Labor Economics
Coile, Courtney, and Jonathan Gruber. 2000. "Social Security and Retirement." Cambridge,
Mass.: National Bureau of Economic Research.
Table 3: Predicting Elasticities of Variables
From the analysis completed in Table 3, the elasticity of each variable can be easily seen. As one would expect, the greater the variability in a given variable the higher the elasticity, especially when the variables either measure purchasing power as pi does directly or how the variables stock, and index of consumer sentiment also are shown as a result of their large variances. Taking a step back from the statistical analysis and thinking logically about this, elasticity would be defined by the level of car stocks or inventories on hand, customer attitudes and behaviors and the amount of money they had to spend. These three variables delivered a 75% R2 correlation coefficient. Elasticity is a function of price and demand so these series of relationships make sense.
Forecasting
The first step in completing a forecast is to define the confidence intervals. Both 90%…
In this study, these variables are considered protective factors. In the third step, childhood SES would be entered. On the fourth step, childhood maltreatment would be entered. The results of the analysis would determine to what extent each of these additional steps adds to the ability to explain the variance in resilience scores. While all of these variables may ultimately be correlated with resilience, either positively or negatively, not all of these variables will continue to "add" something to our ability to predict resilience after the contribution of other variables have been allowed for first.
Below is a screen shot of the "Variable View" in SPSS of how the variables would be entered into SPSS in order to be able to conduct a Multiple Regression Analysis.
Below is a screen shot of the SPSS Data view of the data entered into SPSS for each variable. Gender, Race, Recruitment, Mentor and…
It includes a way to track bidirectional changes focused on the individual who operates within the two cultural environments. Methods of data reduction have been incorporated in order to develop a psychometrically strong tool. Indexes to validate the results are included in the process as well. As a part of the BAS, scales are used to measure the various areas of acculturation rather than examining items based on the cultural dimension. The working of the scale requires using a wide range of behaviors to be used in the study and generating items in order to display the Hispanic and non-Hispanic domain under consideration. A study conducted in San Francisco, California, using this approach presented different results. Multiple subscales were used along with the regular scales. Alpha coefficients were calculated for the different subscale. All of them were pretty consistent. Validation was performed by measuring them against standards established by researchers…
References
Marshall, M.(1996) Sampling for quantitative research Family Practice 13(6), 522-525
Mason, C. And Perreault, W.(1991,August) Collinearity, Power and Interpretation of Multiple Regression Analysis Journal of Marketing Research 28, 268-280
Anderson, D.(2001) In My Opinion: The need to get the basics right in wildlife field studies Wildlife Soceity Bulletin 29(4), 1294-1297
Mathison, Sandra.(1988, March) Why triangulate ? Educational Researcher 17(2). 12-17
Workplace egression Analysis
Give an example from your workplace regarding how regression analysis could be used by your leadership to analyze one or multiple outcomes that occur because of what your agency does. Indicate the dependent variable and at least two independent variables
To begin with, regression analysis is defined as the relationship between variables. referring to the example under consideration, the management in the workplace can use regression analysis to analyze the relationship of the tips received in the various servings compared to the corresponding amount of the bill. The dependent variable is the focus of the analysis. On the other hand, the independent variable is the 'variable that influences value of the dependent variables'. In particular, the management can use regression analysis to evaluate the impact of pricing on the behavior (tips offered) of consumers. For example, the management of the workplace can consider altering the prices on…
References
Hamel, G. (2016). What Are Some Ways Linear Regression Can Be Applied in Business Settings? Chron. Retrieved 7 March 2015 from: http://smallbusiness.chron.com/ways-linear-regression-can-applied-business-settings-35431.html
Skrivanek, S. (2009). The use of dummy variables in regression analysis. Accessed, 21, 15.
In short, it's the veteran employees, who seem to not be using their vacation time, that are creating the perceived problem.
By taking a regression that analyzes length of tenure vs. vacation time taken in the most recently completed calendar year (2005), we can see if employees are taking more time off as they accrue more vacation days. Our hypothesis is that they are not and that there will be no correlation between length of tenure and time off taken.
The main statistic we will analyze is the coefficient of determination. According to Aczel and Sounderpandian, the coefficient of determination measures the strength of the regression relationship on a scale of zero to 1; the closer the figure is to 1, the stronger the relationship (p.457). As Aczel and Sounderpandian indicate, it is difficult to state definitively how close to 1 our coefficient of determination must be before we declare…
Works Cited
Aczel, Amir D. And Sounderpandian, Jayavel. Complete Business Statistics, 6th ed. New York: McGraw-Hill/Irwin, 2006.
Job Satisfaction
The main objective of this research is to examine the various factors affecting job satisfaction given that satisfaction is a dynamic phenomenon that includes a person's attitudes and behaviors. The author also seeks to examine organizational injustices and how they affect job satisfaction and organizational commitment. Organizations in the modern business environment consider job satisfaction as a legitimate factor that has strong impacts on organizational commitment. In light of this significance, it's important for organizations to evaluate and identify factors that affect job satisfaction. Therefore, this research primarily seeks to study the various factors affecting job satisfaction.
Data Analysis Methodology
To achieve the aims of this study, the researcher conducted 26 surveys on 26 different employees to determine issues that are affecting the job satisfaction in their different working environments. The researcher developed surveys with open ended questions that act as a framework of understanding what employees want…
References
Lumley et al. 2011, Exploring the Job Satisfaction and Organizational Commitment of Employees in the Information Technology Environment, Southern African Business Review, vol. 15, no. 1, pp.100-118.
Research Methods Knowledge Base 2006, Deduction & Induction, Research Methods Knowledge Base, viewed 22 April 2016
Satterfield, LM 2015, Factors Affecting Job Satisfaction of Radiologic Sciences Faculty: Implications for Recruitment and Retention, University of Tennessee, Knoxville, viewed 21 April 2016,
Soiferman, LK 2010, Compare and Contrast Inductive and Deductive Research Approaches, Institute of Education Sciences, viewed 22 April 2016,
egression vs. correlation?
Correlation is used to test whether two variables covary, the strength of the relationship, and the direction of the association. A correlation calculation will generate a P-value and a correlation coefficient (r). By comparison, regression will generate the slope and intercept for a best-fit line that can be used to predict unknown values for the dependent variable.
What percentage of depression is not associated with Facebook usage?
The coefficient of determination (r2) is 0.661, which means that 66.1% of the variance in depression is due to the amount of time spent on Facebook; therefore, 33.9% of the variation in depression cannot be explained by time spent on Facebook.
Q3: Variables that could be contributing to the variance not explained by time spent on Facebook?
The unexplained variance in depression scores is the amount of error between measured levels of depression for a study subject and what was…
References
Klengel, T. & Binder E.B. (2013). Gene-environment interactions in major depressive disorder. Canadian Journal of Psychiatry, 58(2), 76-83.
Communicating the Results of a Multiple Regression Analysis
usiness Theory: "Communicating the Results of a Multiple Regression Analysis"
This report has the stated objective of examining the communication of the results of a multiple regression analysis and as such, a multiple regression analysis is described both in theory and in form demonstrating the progression of such an analysis. The multiple regression in this study examines bivariate factors in predicting the success of sales people for XYZ corporation.
The presentation of a multiple regression analysis is addressed in the work of Kuiper (2008) that the goals of multiple regression analysis are to: (1) describe or develop a model that describes the relationship between the explanatory variables and the response variable; (2) predict or use a set of sample data to make predictions; and (3) confirm in that theories are reported as often developed about individual variables including confirmation of which variables…
Bibliography
Gaasbeck, V. (nd) Presentation of Regression Results. California State University. Retrieved from: http://www.csus.edu/indiv/v/vangaasbeckk/courses/200A/sup/regressionresults.pdf
Kuiper, S. (2008) Introduction to Multiple Regression: How Much Is Your Car Worth? Journal of Statistics Education. Vol. 16. No.3. Retrieved from: http://www.amstat.org/publications/jse/v16n3/datasets.kuiper.html
Multiple Regression (1997) SABLE Virginia Tech. Retrieved from: http://simon.cs.vt.edu/SoSci/converted/MRegression/
Correlation, Simple Linear egression
In this paper, we perform a linear regression analysis on previously collected data related to the number of daily e-mails received () and sent (S) by a particular user (the author). We have depicted the original daily e-mail data as a time series, incrementing N. By 1 for each day's measurement. The computed regression coefficient r is the slope of the regression line.
A time series consists of sequencing successive data points at uniform time intervals. As such, this exercise represents a meaningful statistical analysis to determine whether a natural temporal ordering is inherent in the data. It should be recalled that the collection of data for each of . And S. consisted of 15 daily samples, which were collected during two exercises spanning 10 and 5 days respectively. This factor will be noted in the analysis to follow. Table 1 illustrates the predicted values and…
References
Breyfogle, F.W. (2003). Implementing Six Sigma: Smarter Solutions Using Statistical Methods (2nd ed.). John Wiley & Sons.
Waner, S., & Costenoble, S.R. (1999). Simple Regression Page. Retrieved December 18, 2011, from http://people.hofstra.edu/Stefan_Waner/newgraph/regressionframes.html
Linear egression
Predictions and Hypothesis Testing
What benefit does a variable provide when developing and examining models?
Statistics can be used to describe a phenomenon or conduct hypothesis testing, but statistics can also used to predict outcomes (Hanneman, Kposowa, & iddle, 2012, p. 7). To enable predictions to be made, variables are required in the statistical model. Variables allow researchers to model the mathematical relationship between two or more phenomenon. For example, the relationship between tree circumference and the number of leaves could be described by the two variables girth and leaves. This relationship may or may not be causal, but it could be correlational. If a causal relationship is suspected, then maybe reducing the number of leaves inhibits expansion of tree girth. In this case, leaves would be the independent variable and girth the dependent variable. If the model is valid, then the tree girth could be predicted for…
References
Atmospheric pressure and other state variables. (n.d.). Retrieved 6 May 2014 from http://www.geog.ucsb.edu/~joel/g110_w08/lecture_notes/pressure/pressure.html.
Hanneman, R.A., Kposowa, A.J., & Riddle, M.D. (2012). Research Methods for the Social Sciences: Basic Statistics for Social Research. Somerset, N.J.: Jossey-Bass.
Journal of Tropical Pediatrics. (n.d.). Chapter 2: Simple linear regression. In Research Methods II: Multivariate Analysis. Retrieved 6 May 2014 from http://www.oxfordjournals.org/our_journals/tropej/online/ma.html .
National Heart, Lung, and Blood Institute. (2011). What are the coronary heart disease risk factors? Retrieved 6 May 2014 from http://www.nhlbi.nih.gov/health/health-topics/topics/hd/ .
Correlation & Regression
A fifth grade science teacher wants to know if there is a relationship between final exam scores and overall coursepoints after adjusting for a quiz score.
In order to determine whether there was a significant relationship between overall coursepoints and final exam scores, after controlling for quiz scores, a hierarchical regression was run. All assumptions were assessed using SPSS. There was independences of residuals, as assessed by a Durbin-Watson statistic of 1.08. An examination of various scatterplots indicated a general linear relationship between variables of interest, although perfect linearity was not observed.
Overall Scatterplot
Partial Regression Plot: Final Exam Score & Quiz Score
Figure 3. Partial Regression Plot: Final Exam Score & Course Points
The assumption of homoscedasticity was violated, as the scatterplot in Figure 1 demonstrates (i.e., the values were not evenly spread across the scatterplot). There was no evidence of multicollinearity as evidenced by no…
ANOVA analysis is derived from ANalysis of Variance and is used bets where the dependent variable is categorical. In the field of science, this type of analysis is frequent where samples from two or more subjects are analyzed for the inherent properties that they have (Explorable, 2012).
In this case, the size of the maple leaves being dependent on the location of the tree will be used. Maple trees under the shades of taller trees are smaller than the maple leaves from the trees out in the open and even smaller are the maple tree leaves from the median of parking lots. In order to put such a hypothesis to test, 5 groups of 10 maple leaves from the three locations will be collected.
Group I will be the leaves from the shade, group II will be the leaves from the open fields and group III will be those from…
Reference
Explorable, (2012). ANOVA. Retrieved December 8, 2012 from http://explorable.com/anova.html
Statrek, (2012). Simple Linear Regression Example. Retrieved December 8, 2012 from http://stattrek.com/regression/regression-example.aspx
Managerial Assessments of the Applications of egression
Management
The commentary of the article begins with the subject of the research in the article: Organizational Politics within Academic Departments. This subject is valid of research as it is a factor of which many students are unaware, yet are apart of and by which they are affected. Uninformed views or stereotypes of academia may not include the order of politics evident among faculty and staff within each department, yet they exist. Therefore the first piece of criticism is to validate the subject matter of the study. Furthermore, the authors argue for the importance of their study as there is little research in the area, for reasons that some of which are obvious and self evident.
The specific behavioral focus for the article is conflict. The authors wish to understand the nature of conflict within organizations and the impact conflict has upon perceptions.…
References:
Darr, W.A., & Johns, G. (2003) Political climates: Theoretical processes and multi-level antecedents. In Proceedings of the Annual Conference of the Administrative Sciences Association of Canada, Organizational Behavior Division, 24(3)., 36 -- 50. Halifax, Nova Scotia. Retrieved from http://luxor.acadiau.ca/library/ASAC/v24/Proceedings/OrganizationalBehaviour.pdf. 2012 April 14.
Garson, G.D. (n.d.). Regression statnotes: Topics in multivariate analysis. Retrieved from http://www2.chass.ncsu.edu/garson/pa765/regress.htm . 2012 April 10.
Multiple egression
It is hypothesized that self-efficacy, appraisal, challenge and resources will negatively predict perceived stress whilst avoidant strategies will increase levels of perceived stress.
Sample Description
The sample consisted of 100 participants, 27 males and 73 females. Forty percent of the participants were not students, 30 were studying as part time students and 29% were studying as full time students. Fifty-five percent of the sample was employed full time, 25% were employed part-time and 20% reported being unemployed. Participants in the sample ranged from 16 to 70 years of age, with an average age of 35.6.
The assumption of normality was met for each individual variable. All of the variables included in the regression analysis displayed relatively normal distributions. The distribution for Self-Efficacy has a slight negative skew, but not one that should influence the interpretation of the results. An examination of scatter plots also revealed no problems with…
economic analysis of the operating cost that are incurred in the running of a metro station. The paper also reveals the variables that are tied to the cost efficiency of the whole process of running a metro station. The cost of operating the stations is however grouped under the semi-fixed costs that are involved. This is because these costs do not vary proportionately with the output of the metro business. This paper seeks to shed light on some of the main factors that affect these costs. Empirical analysis reveals that very strong system specific factors influences costs but it is worth mentioning that there are other station specific details that also influences the costs. These include the number of platforms in the station, the length of the passageways, the interchange demand, availability of toilet facilities etc.We also discover that presence of air-conditioning has a great effect in the propulsion of…
Bibliography
Bookbinder, J., and W. Qu. "Comparing the performance of Major American
Railroads." Transportation Research Forum
Cantos, P.,Pastor J, and Serrano L. "Cost and revenue inefficiencies in the European railways." International Journal of Transport Economic (2002)
Caves, D.W.,Christensen ., L.R., and Swanson J.A.. "Economic performance in regulated and unregulated environments: A comparison of U.S. And Canadian railways." The Quarterly Journal of Economics (1981)
For example, children whose last names end with a vowel may have a statistically higher chance of manifesting type II diabetes. The reasons for this might be the poverty and discrimination faced by many Latinos, the letters of whose names more often end with a vowel than other ethnicities. Poverty often leads to a poorer diet, less access to places to exercise safely, less access to healthcare, and a lack of opportunities to become educated about how to live a healthy lifestyle. It is poverty that is the causative factor to the child's ill health, however, not the child's name, and changing the child's name will not affect the outbreak of type II diabetes in the Latino community.
eference
Sykes, Alan O. An introduction to regression analysis. University of Chicago Law School.
etrieved February 8, 2010 at http://www.law.uchicago.edu/files/files/20.Sykes_.egression.pdf
Reference
Sykes, Alan O. An introduction to regression analysis. University of Chicago Law School.
Retrieved February 8, 2010 at http://www.law.uchicago.edu/files/files/20.Sykes_.Regression.pdf
.....employee data to answer some human resources related questions using the SPSS software. The screenshots of the entire data are presented in the Appendix 1 and Appendix 2. The report provides the findings for the HR (human resources) issues after carrying out the data analysis of employee's data. The outcome of the analysis reveals that workers between 25 and 55 years of age form the largest percentage of employees in the organization where the mean age of all the entire workforce is 39.19 years. However, workers between 18 and 29 years of age consist of 30.4% of the workforce. However, workers between age of 30 and 40 consist of 23.2% of employees within the organization. Employees between 41 and 50 years of age consist of 23.2% of the workforce while employees between 51 and 63 of age consist of 21.7%.
The findings also reveal the proportion of the employees belonging…
Correlation and regression are two important test statistics that are utilized in a study that focuses on understanding the relationship between two variables and/or the effect of one variable on another. In correlation statistics, there are two variables that are related to each other whereas in regression, and explanatory variable and a response variable are utilized ("Introduction to Correlation and egression Analysis," 2013). Generally, the main aim of correlation statistics is to examine whether two measurement variables co differ and determine the strength of the link between variables. On the contrary, regression statistics focuses on expressing the relationship between two measurement variables using an equation. As a result, of the difference in focus, correlation statistics and regression statistics are suitable for different circumstances.
egression statistics is suitable for situation where the problem of interest or issue being examined is the nature of relationship between a dependent variable and an independent…
References
Cheatham, M.L. (2015). Correlation and Regression. In A practical guide to biostatistics (chap. 8, pp.47-52. Retrieved from http://www.surgicalcriticalcare.net/Statistics/correlation.pdf
"Introduction to Correlation and Regression Analysis." (2013, January 17). Multivariable Methods. Retrieved from Boston University School of Public Health website: http://sphweb.bumc.bu.edu/otlt/MPH-Modules/BS/BS704_Multivariable/BS704_Multivariable5.html
1. If I were designing my research study in the field of psychology, I would most likely use a t-test as the method of data analysis. A t-test is best used when the researcher wants to determine deviations from a normal distribution curve. If there are one or more normal distributions (bell curves), t he researcher can compare the two groups using the t-test method. The variances do not need to be known to perform a t-test either, which is another reason why I would select this method of data analysis in my particular research question. Furthermore, the researcher can use the t-test to measure the differences between two populations regardless of how small or large the sample size. The t-test, also known as the student t-test, is one of the best methods applied to studies using a small sample size. If my research were to progress to where I…
Introduction:
This essayconsists of two parts. Part A is an analysis of quantitative data and Part B is an analysis of qualitative data. We will give you the data in both cases. Each part should consist of data analysis, commentary and interpretation. You should write well-structured report of between 750 and 1000 words for each part plus any diagrams and charts you produce and a list of references.
Part A
The report carries out the data analysis of employee data to answer some human resources related questions using the SPSS software. The screenshots of the entire data are presented in the Appendix 1 and Appendix 2. The report provides the findings for the HR (human resources) issues after carrying out the data analysis of employees data. The outcome of the analysis reveals that workers between 25 and 55 years of age form the largest percentage of employees in the…
knowledge management system would be beneficial in helping the SH administration with the patient data. This system is important because solving problems and making ideal resolutions on health care is heavily reliant on admission to knowledge. In today's progressively difficult environment, it quickly turns out to be vital for healthcare organizations to successfully achieve both internal knowledge and externally produced knowledge, so as to provide the best likely health care, attain operational superiority, and nurture innovations.
This would offer the best solution for the problem that SH is having for the reason that it assists with managerial competencies. When individuals in an organization experience information overload or lack the knowledge needed for decision-making, such as in the case of the incorrect prescriptions, adverse drug reactions, identical or needless lab tests, and misdiagnosis by the doctors, they become chaotic (Ashton, 2009). Form SH, without having this system, clinicians and managers can…
References
J.L. Arthur, K. L. (2009). A multiple goal capital flow model for a chemical and pharmaceutical company. The Engineering Economist, 30 (2), 121-134.
A. Arbel, Y. O. (2011). An application of the AHPto bank strategic planning: The mergers and acquisitions process. European Journal of Operational Research, 48 (8), 27-37.
D.J. Ashton, D. A. (2009). Atkins, Multicriteria programming for financial planning,. Journal of the Operational Research, 30 (3), 259-270.
G. Barbarosoglu, D. P. (2012). Capital rationing in the public sector using the analytic hierarchy process. The Engineering Economist, 40 (4), 315-341.
g. with the same group being tested on a pre- and post-test).
Variations between t-tests are the following:
a. T-test on independent samples that have unequal variance. The problem here is determining sampling error in order to accurately determine whether two samples are or are not really different. This test is also used when the number of cases in each sample is different or when the number of cases in one or both the samples is small.
Steps:
1. Hypothesis is formulated. Means and SD for groups are worked out
2. Standard error for each group is calculated as is overall standard error
3. The t-score for the difference of means is calculated
4. The t-score is looked up and probability result applied to hypothesis.
B. T-test for independent samples with equal variances.
Since you want to avoid a Type 1 error, it is important to ensure that both groups…
References
GAO case study evaluations (1990)
Steinberg, P. Causal assessment in small-N policy studies, Policy Studies Journal, 35,
Behavioral Finance and Analysis of American Financial Crisis
Financial theories are the cornerstone of the modern corporate world. They lay the foundation for most tools used in areas like asset pricing and investment banking. Most theoretical concepts like general equilibrium analysis and information economics are planted in the field of microeconomics. There are several different financial theories based on both consumer behavior, as well as how they impact decisions made by financial managers.
One financial theory that many business managers use is The Modern Portfolio Theory,
or MPT. It suggests how investors use diversification to enhance their portfolios, as well as how to price an asset based on the risk, in relation to the market as a whole. Modern portfolio theory displays the return of an asset as a variable, and the portfolio as a combination of all of the assets. The return of a portfolio is also a random…
Works Cited
Klier, Thomas H. "From Tail Fins to Hybrids: How Detroit Lost its Dominance of the U.S. Auto Market." Economic Perspectives 33.2 (2009), 2-17. Web.
Heakal, Reem, 2008. Macroeconomic Analysis: Retrieved on May 10, 2012 from:
http://www.investopedia.com/articles/02/120402.asp
Krumm, Paul, 2007. How Money is Created Retrieved on May 10, 2012 from:
multiple liner regression to determine the time taken to dispatch daily subscription newspapers from the New York Times Printing Plant to several offices and homes in New York City and its neighborhood. The newspaper delivery routes are to be the shortest and most efficient in terms of conserving fuel that would otherwise be wasted on traffic jams. The Logistics Manager suggested that the variables that are most crucial are the distance to be traveled by the delivery vans and total number of newspapers to be delivered in any particular area. The logistics Manager pooled observations from 25 offices and homes on the average newspaper delivery times. This data was then used to model the econometric model and an analysis carried out.
This paper concludes with recommendations to the New York Times CTO on the most important changes on the logistics department of the firm. This paper prescribes the best possible…
Bibliography
http://www.accessabc.com / http://edirc.repec.org/data/coreebe.html
http://www3.informs.org/site/OperationsResearch/index.php?c=103&kat=Optimization
http://www.questia.com/PM.qst?a=o&se=gglsc&d=5002356753
Step 4. Model relationship coefficient determination
Predictors of stress included being male, young, Hispanic, living in a rural residence, and not belonging to any religious institution. Also being male and young were associated with high burnout rates, whilst involvement in religious activity were associated with lower burnout rates.
The child worker whose job status was that of professional was more likely to show burnout and compassion fatigue than another not of that status.
The variables here were dependent variable -- burnout and stress, independent variable -- status of the worker as well as personality and environmental characteristics (namely those described above).. Explain how the research exemplifies regression discontinuity or correlation research, and identify the specific design, if appropriate.
This is an example of correlation research. The researchers wished to see whether any specific factors were associated with burnout and stress and whether the occurrence of these variables showed positive association (or negative association) with an increase…
Sprang, G et al. Secondary Traumatic Stress and Burnout in Child Welfare Workers: A Comparative Analysis of Occupational Distress Across Professional Groups Child Welfare, 90, 149-168
Urban Institute. Impact Evaluation: Regression Discontinuity.
http://www.urban.org/toolkit/data-methods/regression.cfm
Display
The effectiveness of using display as a marketing mix variable is average. It has a coefficient of 0.253. This is in regard to all of the brands.
Feature
The effectiveness of using feature as a marketing mix variable is noted to be the most efficient for all of the brands. This is due to its high level of significance (0.315).This means that it is the variable which should be perfected by all of the brands
(c) Store 4 is the largest store in the market with more than 40% of market share (see "Statistics"). As a brand manager for Coca-Cola, you are not happy about the fact that sales of Coca-Cola lag behind Pepsi, your major competitor, in the store. Can you explain why this happens? Also, can you recommend how to stimulate sales in store 4 by marketing more effectively? It would be useful to provide some numerical…
However, their measurable test gains may be less than students who do not have such challenges. Quality of instruction is also an issue: perhaps good instructors and smaller class size is best, but what is 'better' -- an average teacher with a small class or a good teacher with a large class? Baker suggests the former scenario is superior, given that smaller class sizes can increase the need for teachers -- good or bad -- leaving many students in the hands of less competent teachers. However, at some threshold class management becomes impossible, even for a good teacher, and the line is difficult to draw. Benefits may be different based upon student's gender, preparation level of the student, social class, and also the preparation level of the teacher. More experienced teachers may be better able to cope with larger classes, and also more adept at using smaller class size to…
The benefits of small class sizes may be cumulative, even if the overall, measured year-to-year effects are small. That would explain such problems as the discrepancies between different grade levels in measured effects of class sizes. But Baker sees such shifts as based on micro rather than macro concerns "the increase in test scores is offset by other test score fluctuations that occur between enrollments of 20 and 25. The positive ratio for third grade students (rather than negative as for second graders) is likely due to the fact that increases in test scores to the right of enrollment threshold are smaller for third than for second graders and, on the average, are offset by other fluctuations" (Baker 2009, p.13).
Even in light of her research hypothesis and skeptical conclusions Baker admits there are some indications that class size has a demonstrable effect upon student achievement. "Findings of school non-participation and creation of enrollment cutoffs [merely] demonstrate the unanticipated consequences that a class-size reduction program based on financial incentives can create, and should be taken into account when designing future class-size reduction policies" (Baker 2009, p. 5; 3). Baker's research highlights a number of questionable policies of California school districts, such as shuttling excess students to overcrowded districts. It is arguable that given the population and financial challenges of California at this time, mandatory class limitations may not be feasible, because the policies they spark to meet compliance are worse than higher levels of enrollment. It is also arguable, based on Baker's research that because of districts' methods of achieving such benchmarks are often underhanded that the class size limits are not serving the populations the programs were designed to help. But that does not mean that class size reduction is not a laudable aim. At very least, the fact that larger class sizes may cause problems for some students should be more fully explored on a qualitative rather than a purely quantitative level, given the generalized categories of Baker's research, which only takes into consideration socioeconomic categorizations.
Baker admits that previous literature indicates that small class size has been supported for some children: it is possible to hypothesize that for ESL learners and students with learning disabilities, large classrooms do not serve their needs, and the poor and disadvantaged may get 'lost' in large districts. The parts of Baker's research indicating that the overall effect of class reduction is not as large as one might expect on a general level often point to a failure of implementation, rather than a failure of class sizes to deliver upon their original pedagogical promises. Analysis of the benefits of class sizes for specific populations is still required, given the differentiation that exists in any school district and California in particular. The degree to which school districts can enforce smaller class sizes without busing 'overflows' of students elsewhere must also be examined, to see if class size reduction benefits students if it is done fairly.
Genome-Wide Association Study for OCD Complications
The OCD (Obsessive -- compulsive disorder) is referred as repetitive behaviors and thoughts experienced by individuals. (Visscher, Brown, McCarthy, et al. (2012). Typically, the genes' characteristics of twins and families have revealed that the OCD has the feature of multifactorial familial condition involving both environmental and polygenic factors. (Moran, 2013). Genetic studies have revealed that the interaction of the glutamatergic, serotonergic, and dopaminergic systems and genes affecting them play a crucial role in functioning of the circuit. (Yang, Lee, Goddard, Mand et al. 2011). Meanwhile, the environmental factors that include psychological trauma, adverse perinatal effects and neurological trauma may modify the risk genes, which can consequently manifest the compulsive-obsessive behaviors. (Visscher, Brown, McCarthy et al. 2012). The OCD is a frequent and, relative common debilitating neuropsychiatric disorder affecting 2% of the U.S. population. (Arnold, Sicard, Burroughs, et al. (2006). Typically, the OCD is obsessions…
Reference
Arnold, P., Sicard, T., Burroughs, E. et al. (2006). Glutamate Transporter Gene SLC1A1 Associated With Obsessive-compulsive Disorder. Arch Gen Psychiatry, 63(7), p.769.
Baxter, A., Scott, K., Vos, T. and Whiteford, H. (2012). Global prevalence of anxiety disorders: a systematic review and meta-regression. Psychological Medicine, 43(05), pp.897-910.
Barrett, P., Healy-Farrell, L. & March, J. S. (2004). Cognitivebehavioral family treatment of childhood obsessive-compulsive disorder: a controlled trial. J. Am. Acad. Child Adolesc. Psychiatry . 43, 46-62.
Cantor, R., Lange, K. and Sinsheimer, J. (2010). Prioritizing GWAS Results: A Review of Statistical Methods and Recommendations for Their Application. The American Journal of Human Genetics, 86(1):.6-22.
Linear, Logistic or Multiple Correlation/Regression Proposal
Objective of this paper is to use the statistical test to investigate whether the middle income earners in developing countries are capable of becoming home owners. The paper uses Nigeria as a case study. Unlike the developed countries such as the United States and United Kingdom where middle income earners can become house owners, however, the issues are different in developing countries because various factors prevent middle income earners from purchasing housing units compared to middle income earners in developing countries. Typically, a level of income plays a critical role in homeownership. While different governments in developing countries have implemented various policies in assisting people to become homeowners, nevertheless, factors such as corruption, inflation, and poor implementations have made the policy non-realizable. In Sub-Sahara African countries, nearly 62% of people live in slums, and per capital income of most developing countries are less than…
Run a linear regression of time spent studying (Study; independent) predicting time spent watching TV (TV; dependent). Copy and paste your output and answer the following questions.
Regression
Descriptive Statistics
Mean
Deviation
How much time do you spend watching TV per week (in hours)?
How much time do you spend studying per week (in hours)?
Correlations
How much time do you spend watching TV per week (in hours)?
How much time do you spend studying per week (in hours)?
Pearson Correlation
How much time do you spend watching TV per week (in hours)?
How much time do you spend studying per week (in hours)?
Sig. (1-tailed)
How much time do you spend watching TV per week (in hours)?
.002
How much time do you spend studying per week (in hours)?
.002
N
How much time do you spend watching TV per week (in hours)?
50
50
How much time do…
Illegal Corporate Activities
Clinard's publication concerns corporate violations of stipulated laws by 582 public corporations in the United States of America. In addition, the extent and nature as well as the economic settings the violations occurred are also looked at. The study used data from the firms' sales to calculate their levels of diversification and levels of concentration among other variables. In this paper, the publication in scrutiny used sources of data though they never gave in-depth information on all violations; this makes this analysis lean on one side and may not give the actual results.
Descriptive Statistics
Descriptive statistics is used here to summarize the study sample as well as the observations that have been made. The main summary used is quantitative form of the data. From the data outlined in the first codebook, the five-year mean for corporate sales is 99. This is the logged value for the…
References
Boies, J.L. (1989). Money, Business, and the State: Material Interest, Fortune 500 Corporations, and the Size of Political Action Committees . American Sociological Review, 821-833.
Clinard, M.B., & Yeager, P.C. (1987). Illegal Corporate Behavior, 1975-1976. Ann Arbor, Michigan: Inter-university Consortium for Political and Social Research.
WidgeCorp
The idea behind using a regression model for forecast sales for cold beverages next year is to help the company make a better decision about that industry. The way this is done is to test all the possible influences on cold beverage demand, and apply the results. There are two different approaches we can take -- the simple approach and the complex approach. Which approach is better depends on what the decision we are making is. Obviously there are differences between the amount of time, effort and most importantly money that go into the two approaches.
The simple approach would be useful here if the decision is simply yes/no, should we enter the cold beverage market? In that case, precise demand statistics are probably not required. We can use next year's sales as the dependent variable, and then have a handful of independent variables for the past several years…
Hence the development of the Open Systems Interconnect (OSI) Model which lead to the development of the Internet and the Ethernet standard and the TCP/IP protocol, both of which nearly the entire Internet runs on today.
#9, in what way have phones and computers converged? Why is this convergence occurring?
The personal productivity tasks of communication as it relates to the use of telephones and computer systems has long been an area developers and entrepreneurs have poured time and money into. Now with the concept of the Mobile Web, it's possible to have PDAs and cell phones that make it possible to access any website, any e-mail account, from any location there is a cell phone signal. The impetus is the overlap of personal productivity processes.
Computer Security):
Q.#9, Read the information on the Thawte Web site about how users can be authenticated (Web of Trust). Briefly explain how the…
environmental, social and governance (ESG) performance and financial performance of companies
Investors are increasingly recognizing the fact that ESG (environmental, social, corporate governance) elements can substantially affect companies' security rates and financial performance. The aforementioned components' contribution to financial markets has been growing with the rise in number of ESG opportunities and risks within the contemporary international economy. Timely and improved organizational policy-related data access and the effect of organizational policy on communities have made it considerably convenient for customers to express their dissatisfaction by simply quitting a brand. When international brands' images are sullied by ESG-related problems, the resultant instantaneous backlash has the capacity of abruptly and negatively impacting income and demand (Eccles, Ioannou & Serafeim, 2014).
Organizations having a poor reputation when it comes to ESG related matters are vulnerable to monetary risks, including a very genuine threat of facing lawsuits in the future, greater remediation and regulatory…
Training Needs Analysis Practices for Managers: A Study of Saudi Arabia Private Firms
Training needs analysis (TNA) is defined by Mabey and Salman (1995:158) as a "process of collecting data which allows an organization to identify and compare its actual level with its desired level of performance." The authors also indicate that this performance could be interpreted as meaning the competencies and attitude necessary for the staff to do the job effectively. Moreover, Armstrong (1996:536) states that "training needs assessment is partly concerned with finding the gap between what is happening and what should happen.. This is what has to be filled by training ." Figure (1.1) depicts this gap.
Figure
The training Gap
WHAT SHOULD BE
TRAINING GAP
WHAT IS
CORPORATE OR FUNCTIONAL ATANDARDS
KNOWLEDGE AND SKILL REQUIRED
TARGETS OR STANDARDS OF
PERFORMANCE
CORPORATE FOR FUNCTIONAL RESULTS
KNOWLEDGE AND SKILL POSSESSED
ACTUAL PERFORMANCE OF INDIVIDUALS
Source: Armstrong (1996)
Gibson…
Unit of Analysis
A unit of analysis constitutes an object of study in research undertakings (Cole, 2018). Definition and bounding of the case may prove challenging since a number of variables and points of interest overlap and intersect within cases researches. Development of research questions, propositions for case selection, focus identification, and boundary refining has been recommended for effective establishment of the aforementioned components in the study design. Case bounding proves crucial when it comes to information acquisition and analysis management, focusing, and framing. This entails selectiveness and specificity in the identification of case parameters such as respondents, process and location, in addition to the establishment of a timeframe for investigation of the case. To be more specific, units of analyses (UoIs) are decided by research questions (Merriam, 2009; Stake, 2006; Yin, 2014). Consider, for instance, Francis, Anderson and Stokes’ 1999 research “City Markets as a Unit of Analysis in…
Business Statistics
Regression
Variables Entered/Removeda
Model
Variables Entered
Variables Removed
Income ($1,000), Cups of Coffee per Day, Age, Days per Month at Starbucksb
Dependent Variable: Amount of Prepaid Card $
All requested variables entered.
Model Summaryb
Model
R
R Square
Error of the Estimate
Durbin-Watson
Predictors: (Constant), Income ($1,000), Cups of Coffee per Day, Age, Days per Month at Starbucks
Dependent Variable: Amount of Prepaid Card $
ANOVAa
Model
Sum of Squares
df
Mean Square
F
Sig.
Regression
Residual
Total
Dependent Variable: Amount of Prepaid Card $
Predictors: (Constant), Income ($1,000), Cups of Coffee per Day, Age, Days per Month at Starbucks
Coefficientsa
Model
Unstandardized Coefficients
Standardized Coefficients
t
Sig.
Collinearity Statistics
B
Std. Error
Beta
Tolerance
VIF
1
(Constant)
10.949
10.562
1.037
.312
Age
.415
.270
.313
1.535
.140
.873
1.146
Days per Month at Starbucks
1.005
.692
.362
1.452
.162
.584
1.712
Cups of Coffee per Day
-2.590…
stock market and the Banks promote economic growth and it provides a critique of their functions in transitional economies. Every country depends on its economy for its growth. For a country to be stable it has to be stable in terms of its economy. Bank and stock market contribute to a great extent to the economy growth of every country where it provides firms with opportunity to get funds thus encouraging more investment from the firms. At the same time they give information on the ways resources should be allocated. The development of a financially sound, market-oriented banking system is always considered to be fundamental to a flourishing transition. Arguably, it is important to macroeconomic stability and to positive long-term growth prospects. As documented, bank intermediation in transition economies continues to be stunted after a decade or addition of reform, mainly where advancement in banking reforms is inadequate. The banking…
WORK CITED
Atje, Raymond and Jovanovic, Boyan, (April 1993), "Stock Markets and Development," European Economic Review, 37 (2/3), pp. 632-40.
Bagehot, Walter. (1873) Lombard Street. Homewood, IL: Richard D. Irwin, (1962
Edition).
Bresharan, T., Milgrom, P., and Paul, J., (1992),"The Real Output of the Stock
Dugan: Should be on its own page.
Juvenile recidivism is a prevalent problem in the criminal justice system. Tackling reoffending remains a complex task requiring several strategies and aims. It involves research, acknowledgement of causes, factors, exploration, and evaluation of subgroups to generate long-term, positive changes in the lives of juvenile offenders. From gang violence to Interactive, Constructive, Active, and Passive (ICAP), researchers discover some of the reasons why juveniles reoffend and the kinds of intervention methods that may help or worsen the problem of juvenile recidivism. Intervention philosophies like surveillance, discipline, close monitoring may increase recidivism rates. estorative programs, counseling, skill building programs, as well as multiple coordinated services decrease recidivism rates. Comment by Max Dugan: I would put evaluation at the end of the list vs. first. Comment by Max Dugan: Need to spell out all acronyms before using in APA format.
elevance
Juvenile offenders and reoffenders are…
References
Aalsma, M., White, L., Lau, K., Perkins, A., Monahan, P., & Grisso, T. (2015). Behavioral Health Care Needs, Detention-Based Care, and Criminal Recidivism at Community Reentry From Juvenile Detention: A Multisite Survival Curve Analysis. American Journal Of Public Health, 105(7), 1372-1378. http://dx.doi.org/10.2105/ajph.2014.302529
Baglivio, M. & Jackowski, K. (2012). Examining the Validity of a Juvenile Offending Risk Assessment Instrument Across Gender and Race/Ethnicity. Youth Violence And Juvenile Justice, 11(1), 26-43. http://dx.doi.org/10.1177/1541204012440107
Baglivio, M., Wolff, K., Piquero, A., & Epps, N. (2015). The Relationship between Adverse Childhood Experiences (ACE) and Juvenile Offending Trajectories in a Juvenile Offender Sample. Journal Of Criminal Justice, 43(3), 229-241. http://dx.doi.org/10.1016/j.jcrimjus.2015.04.012
Bates, K. & Swan, R. (2013). Juvenile delinquency in a diverse society (1st ed.). SAGE Publications.
Black Women: Diversity and Inclusion Programs - Are they really assisting?
In the last few decades, researchers, policymakers, economic development experts, and analysts of public policy are increasingly concentrating on the aspect of entrepreneurship in the African-American community, with respect to devising distinct strategies for facilitating economic success. Establishment of set-aside initiatives for minorities (or disadvantaged business initiatives) is one political strategy which serves as an instrument for enhancing small, poor businesses' chances of survival. Several of these businesses were African-American-owned and -run businesses (House-Soremekun, 2007; Chatterji, Chay & Fairlie, 2013). This paper will look into the economics-politics interrelationship, by analyzing the aforementioned disadvantaged business initiatives' effect on African-American businesswomen's economic outcomes.
Policy Background
Set-aside initiatives for minorities first developed during the 1930s, with President oosevelt's Great-Depression-era New Deal initiatives for addressing economic issues (House-Soremekun, 2007). The 1933 Unemployment elief Act prohibited discrimination against people on the basis of color,…
References
Bardach, E. (2011). Practical guide for policy analysis: the eight-fold path to more effective problem solving, 4th Edition. Sage
Bates, T. and Williams, D. (1995). Preferential Procurement Programs and Minority-Owned Businesses, Journal of Urban Affairs, 17(1): 1-17.
Bates, T. and Williams, D.L. (1993). Racial Politics: Does It Pay? Social Science Quarterly, 74(3): 507-22.
Boston, T. D. (1998). Trends in Minority-Owned Businesses, prepared for the National Research Council Conference on Racial Trends in the United States, Georgia Tech Working Paper.
It assumes a person is in control of their own fate and not a victim to it. Starting at an early age, a unique style of life is created by the person and that life-style stays relatively constant throughout the remainder of life. Working toward success, connectedness with others, and contributions to society are considered hallmarks of mental health, as well as being motivated by goals, dealing with the tasks faced in life, and social interest. Birth order is considered important in understanding a person's current personality, yet the therapy is future-minded, rather than retrospective. (Psyweb Pro, 2006)
In Adlerian therapy, the therapist will gather as much family history as possible. This data will be used to help set goals for the client and to get an idea of the clients' past performance. This will help ascertain whether the goal is too low or high, and if the client has…
References
Adlerian Psychology, Psyweb.com 2006, http://psyweb.com/Mdisord/MdisordADV/AdvPsych.jsp (Retrieved August 20, 2006)
Corey, Gerald (1991) Theory and Practice of Counseling and Psychotherapy
Carlson, Neil R. (1995) Foundations of Physiological Psychology
CTA: Cognitive Therapy Associates, http://www.cognitive-therapy-associates.com/therapy/adlerian-therapy.php
Growth ate
Slow model (1992) is an economic tool used to analyze a country economic growth. The principal conclusion of Slow model is that the accumulation of capital could not only account for the growth rate per person. To address the central question of economic growth, it is critical to move beyond the Slow model. Mankiw et al. (1992) incorporate economic tools such as FDI growth rate, trade, inequality, institutional quality and other core variables such as labor and capital to analyze the growth rate across countries,.
Objective of this paper is to use the core economic variables and non-core economic variables to investigate their potential impacts on the United States growth rates.
Overview of the United States Growth ates
The United States is the largest and most powerful economy in the world. Presently, the U.S. has the highest level of output with the country GDP valued more than U.S.$14…
References
Andrew, W. (2007). The link between institutional quality and economic growth: evidence from a panel of countries. Master's Thesis.
Country Watch (2012).United States Economic Overview. CountryWatch, Inc.
Freckleton, M. Wright, A. & Craigwell, R.(2012). Economic growth, foreign direct investment and corruption in developed and developing countries. Journal of Economic Studies. 39 ( 6):639 -- 652.
Kornecki, L. & Borodulin, V.(2011). Foreign Direct Investment Stock Contributes to Economic Growth in the U.S. Economy. Department of Economics, Finance, and Information System.
Human esources Pay Package
Employee Compensation Plan
Target Job: egistered Nurse (N) in a Hospital
Hillcrest Hospital is a 496 bed hospital located in Mayfield Heights, a Cleveland Ohio Suburb. Hillcrest is ranked in the nation's top 100 in cardiac care. It is part of the Cleveland Clinic system. The mission of the hospital is to provide nationally ranked healthcare to the surrounding community. It holds clinical excellence, safety, ethics, integrity, individual responsibility, respect for diversity and caring for others as key tenets (Hillcrest Hospital, 2012a). Its vision is to service as an example of state-of-the-art medical facility in every department that delivers consistent high quality service to Northeast Ohio (Hillcrest Hospital, 2012b). The Cleveland Clinic system is one of the best renowned systems in the nations in a number of specialties in which they operate.
Hillcrest Hospital strives to put their patients first and looks for enthusiasm in employees.…
References
Bureau of Labor Statistics. Occupational Outlook Handbook, 2010-2011Edition. Registered Nurses. Retrieved from http://www.bls.gov/oco/ocos083.htm
Hillcrest Hospital (2012a). Mission. Retrieved from http://www.hillcresthospital.org/AboutHillcrestHospital/Mission/tabid/574/Default.aspx
Hillcrest Hospital (2012b). Vision. Retrieved from http://www.hillcresthospital.org/AboutHillcrestHospital/Vision/tabid/575/Default.aspx
Hillcrest Hospital (2012c). Hillcrest-Hospital-Jobs. Retrieved from http://www.clevelandclinic-jobs.com/go/Hillcrest-Hospital-Jobs/28206/
Pizza Shop Demand Forecasting
Pizza Company Entry: Consumer Demand Forecast
There are a number of issues a company needs to think about before entering any particular market. In an industry such as the food service industry, there are even more factors to consider. Entering into any market can be a gamble, yet food service is often even more vulnerable in regards to the already strong presence of successful competitors and the income levels of the consumer markets being served. Within this particular analysis, the data presented in the course shell will be used as a way to determine if the Pizza Company should enter this particular market, and if so, which conditions will be most desirable in order to facilitate the most successful entry into the market.
egression Analysis
One of the best forecasting tools companies can use is regression forecasting in order to determine the potential for consumer demand…
References
Green, Richard D., Carman, Hoy F., & McManus, Kathleen. (1991). Some empirical methods of estimating advertising effects in demand systems: An application to dried fruits. Western Journal of Agricultural Economics, 16(1):63-71.
Linton, Ian. (2012). How does advertising affect product awareness & use? Small Business Chronicle. Web. http://smallbusiness.chron.com/advertising-affect-product-awareness-use-36750.html
Schweiger, Irving. (1956). Forecasting short-term consumer demand from consumer anticipations. The Journal of Business, 29(2), 90-100.
Symes, Steven. (2013). The effects of price increase on sales volume. Small Business Chronicle. Web. http://smallbusiness.chron.com/effects-price-increase-sales-volume-12161.html
Predictors of the Transition From Experimental to Daily Smoking Among Adolescents in the United States
By reviewing the methodology and analysis sections of the study, I discovered that the quantitative method used was a complex sampling design with restricted-use data. The authors of the study used data from the National Longitudinal Study of Adolescent Health as their focus, so they had the opportunity to study a large amount of data without being required to collect it from survey participants or interviews (Park, Weaver, & omer, 2009). Examined were strata at the individual student level and schools as clusters, as well as the subjects and their unique selection criteria (Park, Weaver, & omer, 2009). There were 134 schools and 90,000 students participating. Each of those students filled out a 45-minute questionnaire regarding expectations for the future, their friendships, and their health (Park, Weaver, & omer, 2009).
I found that the covariates,…
References
Denzin, N.K., & Lincoln, Y.S. (2011). The SAGE Handbook of qualitative research ( 4th ed.). CA: Sage Publications.
Franklin, M.I. (2012). Understanding research: Coping with the quantitative-qualitative divide. London/New York: Routledge
Gorard, S. (2013) Research design: Robust approaches for the social sciences. London: SAGE
Park, S., Weaver, T.E., & Romer, D. (2009). Predictors of the transition from experimental to daily smoking among adolescents in the United States. JSPN, 14(2): 102-111.
Change
This study analyzes outsourcing trends in the next decade. The study assesses this by focusing on the past and current trends, problems and issues in outsourcing via semi-structured interviews. Major trends and processes will be revealed and assessed for their relevancy, depth and breadth.
Companies belonging to most industries are very much considered to be the units that are vertically integrated, or so-called usual industrial firms (Stigler, 1951), where activities in all links in value chain have been internally conducted. For example, gasoline of its own is delivered by 7-Eleven and it is also used to make ice and candy, also it had cows for producing milk which it previously used to sell (Gottfredson et al., 2005). At present, it is not delivering gasoline and ice or candy is not being made by it neither does it posses any cows. Contrarily, IBM used to make the computers containing their…
References
Adams, R.J., 2002. Retail pro-tability and sweatshops: a global dilemma. Journal of Retailing and Consumer Services 9, 147-153.
Alexander, C., 1964. Notes on the Synthesis of Form. Harvard University Press, Cambridge, MA.
Alexander, M., Young, D., 1996b. Outsourcing: where is the value? Long-Range Planning 29 (5), 728-730.
Ashkenas, R., Ulrich, D., Jick, T., Kerr, S., 1995. The Boundaryless Organization. Breaking the Chains of Organizational Structure. Jossey-Bass Publishers, San Francisco.
" To meet the criteria of a "champion," the top, middle and lower management has got to be not only at an advanced level, but also should be extremely valued. The top management should proactively encourage and advance the organizational goals, offering knowledge and assistance. Furthermore, it is vital that these "champions" make sure that employee complaint resolution endeavors are successfully executed. In one study, companies with devoted and advanced "champions" had been twice as probable to account that their organizations had been doing better than they anticipated (Yu, 2001). This shows that with top management support as well as advanced and knowledgeable employees can assist in increasing the organizational performance. In light of the aforementioned facts, we have chosen our third variable as top management support and our third hypothesis is:
Hypothesis three: The stronger the top management support, the higher the employee retention rates.
Collection of variables and…
References
Conduit, J. & Mavondo, F.T. (2001). How critical is internal customer orientation to market orientation? Journal of Business Research, 51(1), 11
Felps, W. et al. (2009). Turnover contagion: how coworkers' job embeddedness and job search behaviors influence quitting. Academy of Management Journal. 52: 3, 545 -- 561.
James, L.R. (1980). Perceived job characteristics and job satisfaction: an examination of reciprocal causation. Naval Health Research Center. Personal Psychology Center.
Johnston, R. (2001). Linking complaint management to profit. International Journal of Service Industry Management, 12(1).
Probability provides a measurable and quantifiable indication of how likely a particular outcome is for an event or experiment. It is expressed as a numeric value between zero and one (inclusive), where an impossible event has a probability of zero and a certain event has a probability of one. Probability is conventionally written using the symbol P, and may be expressed as a percentage by multiplying P. By 100.
The problem at hand related to 1995 gold prices can be set up and solved in the following way, with µ (mu) representing the mean, ? (sigma) the standard deviation, X the target value, and x1 and x2 defining the target value range.
µ = $383; = $12; x1=$394; x2=$399
The probability that the client's gold will be sold the next day is given by:
P (x1
References
Annual Survey of Service Industries: Food Services and Drinking Places. (1999). Retrieved December 11, 2011, from http://www.statcan.gc.ca/cgi-bin/imdb/p2SV.pl?Function=getSurvey&SurvId=4704&SurvVer=0&SDDS=4704&InstaId=15525&InstaVer=3&lang=en&db=imdb&adm=8&dis=2
Arsham, H. (2011). Statistical Thinking for Managerial Decisions. Retrieved December 11, 2011, from http://home.ubalt.edu/ntsbarsh/Business-stat/opre504.htm
Dendane, A. (2011, April 3). Normal Distribution Probability Calculator. Retrieved December 11, 2011, from http://www.analyzemath.com/statistics/normal_calculator.html
Regression Basics For Business Analysis. (n.d.). Retrieved December 11, 2011, from http://www.investopedia.com/articles/financial-theory/09/regression-analysis-basics-business.asp#axzz1gE9DOgSJ
In this particular sample, looking at the adjusted R2 is somewhat pointless, as the data is based on a population, not a sample, and as such, the adjusted R2 does not add a significant contribution to our interpretation of the data.
Discussion of the empirical results from the regression analysis
The results of the regression analysis support the predictions that each of the identified independent variables is an important and significant predictor of average life expectancy at the county level. Higher percentages of obese individuals, smokers, low rates of exercise and small numbers of active primary care physicians predicted lower average life expectances at the county level. These results echo past research that has linked these variables to specific health outcomes and highlight the importance of focusing on these issues as important areas for intervention with respect to improving health, reducing health care costs, and general health promotion.
orks Cited…
Works Cited
Research
Contalado, F., Pasanisi, F., Finelli, C., & de Simone, G. (2002). Obesity, heart failure and sudden death. Nutr Metab Cardiovascular Disease, 12(4), 190-7.
Dollemore, D. (2005). Obesity threatens to cut U.S. life expectancy, new analysis suggests. NIH News, Wednesday March 16, 2005. http://www.nih.gov/news/pr/mar2005/nia-16.htm
Rosamond, W. et al., (2008). Heart Disease and Stroke Statistics -- 2008 Update. Circulation, 117, 25-146.
Actuarial Science: Modeling
The objective of this report is to investigate dependence structure between the home line of business and domestic motor line of business to determine the global amount of capital to hold for both lines of business. The paper uses the regression analysis and descriptive statistics to analyze the raw data collected for the losses on both lines of business. The results from the analysis reveal that there is little or no positive dependence structure between the two lines of business because the . Square value from the regression analysis output is 0.29, which is closer to 0. Moreover, there are higher losses in the domestic motor line of business than the home line of business. There is also higher volatility in the domestic motor line of business than home line of business. Thus, the report recommends that home line of business should attract more global capital than…
References
Benfield (2009).Insurance Risk Study Modeling the Global Market. (Fourth Edition). Taon Benfield Publication.
North Carolina State University (2004). Linear Regression in Excel. NC State University Publication.
Parkville Maryland
Parkville is located in the state of Maryland in the Baltimore metropolitan area. Parkville is mainly located in the County of Baltimore with parts of it in Baltimore City County. Parkville is bordered to the south by Carney, which is primarily in the City and to the north by Perry Hall, Hampton, Overlea, and Towson, to the west, north and east. There are several Pizza establishments in the area an indication of demand of the product. However, it is important to establish the demand of the product using statistical analysis. In conducting this analysis, it is critical to take into consideration the demographics of the area including population and income per capita.
According to the United States Census Bureau (2010), the population of Parkville had gone up to 69752 from 69100 over the past decade. The Median Household Income in Parkville is $54,373 and can be socio-economically referred…
Reference
Jian, S., & Yan, L. (2011). MGMT Panel. Guangdong University of Finance.
United States Census Bureau. (2010). Population Census. U.S. Population Report.
Wood, M. (2012, July 6 ). P values, confidence intervals, or confidence levels for hypotheses? Retrieved November 7, 2012, from http://arxiv.org/ftp/arxiv/papers/0912/0912.3878.pdf
Demand for Money
The international community is currently facing the most severe crisis since the Great Depression of 1929 -- 1933. It started within the American real estate sector and soon expanded to the rest of the sectors, as well as to the rest of the global economies.
The causes and impacts of the crisis have often been discussed in the media and within the specialized literature, and the discussion is far from over. Still, this approach to the crisis is more descriptive and reflective. At this stage nonetheless, it is necessary to implement a proactive approach through which to promote solutions to overcoming the crisis.
Governments across the globe have each developed and implemented their own solutions to the crisis, ranging primarily from injecting capitals in the troubled industry sectors and companies, to efforts aimed at reducing federal costs. In the completion of these efforts, a crucial role is…
References:
Bae, Y., De Jong, R.M., 2005, Money demand function estimation by non-linear conintegration, Ohio State University, http://www.imf.org/external/pubs/ft/wp/1999/wp9964.pdf last accessed on January 17, 2012
Balnaves, M., Caputi, P., 2001, Introduction to quantitative research methods: an investigative approach, SAGE
Barth, R.C., Hemphill, W.L., Aganina, I., 2000, Financial programming and policy: the case of Turkey, Vol. 1, International Monetary Fund
Canova, L., 2006, Estimating demand for money in Jamaica, Munich Personal RePEc Archive, http://mpra.ub.uni-muenchen.de/1023/1/MPRA_paper_1023.pdf last accessed on January 17, 2012
Demographics of Raleigh, NC
Demographic and independent variables relevant to complete a demand analysis include population size and Average income per household. An area with a high population size is most likely to have potential for demand of products, According to the U.S. Census Bureau (2010) the there are 403,892 people in Raleigh, NC. In line with this, the population must be able to have disposable income to buy these products. The relationship between product demand and income is a good indicator of Gross Domestic Product. It is the broadest measure of income generated in the economy. However in demand analysis, personal or household incomes are useful. The income per capita of Raleigh is estimated at $29,771 (Sperlings Best Places, 2010). Therefore, it is critical for a serious business to consider these two demographic factors in demand analysis and estimation. The economy must be an active one in order for…
¶ … Prediction African-American Parents' and Guardians' Satisfaction With Teachers and Public Schools," Thompson (2003) points out the shortcomings of public school reforms such as the 2002 No Child Left Behind Act. The researcher notes that most disadvantaged students and especially African-American students have been systematically left behind. The Act, although well intentioned, fails to address the need for improved parent-teacher relations. Regression analysis shows that parental satisfaction as early as elementary school is one of the strongest predictors of parental satisfaction with their children's overall education in American public schools. Thompson's research demonstrates the failure of public policy reforms and suggests that future policy be directed at improving relations between school administrators and African-American parents.
Thompson's research is highly relevant to school administrators and counselors throughout the country. Most schools in the United States will have a substantial number of African-American students. Their needs and those of their parents…