Regression Analysis Essays (Examples)

Regression Analysis Real Estatee Sales Prices and

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…… [Read More]

Regression Analysis Is the Technique

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…… [Read More]

Regression Analysis and Business Rules of Thumb

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…… [Read More]

Regression Analysis the Methodology for

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…… [Read More]

Regression Analysis on Retirement

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…… [Read More]

Regression Analysis of Auto Sales

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%…… [Read More]

Multiple Regression Analysis Data Set

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…… [Read More]

Multiple Regression Analysis Is an

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…… [Read More]

Analyzing the Workplace Regression Analysis

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…… [Read More]

Regression for HR a Look

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…… [Read More]

Analysis of Survey on Job Satisfaction

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…… [Read More]

Analysis of Null Hypothesis Significance Testing

Nhst

Compare and Contrast Null Hypothesis Significance Testing (NHST)

The most commonly used statistical technique for testing the impact of the factor being discussed on observations is Null Hypothesis Significance Testing (NHST). Consequently, NHST is the famous approach to inferential statistics, especially when conducting quantitative research. Despite being the dominant approach, NHST has also become increasingly controversial given the belief by a considerable number of people that it is a flawed statistical method. The controversy and consideration of Null Hypothesis Significance Testing as a flawed statistical approach has contributed to the development of alternatives whose proponents consider more beneficial or advantageous unlike NHST. However, an understanding of Null Hypothesis Significance Testing requires correct interpretation of p values.

Meaning of p = .05

P value is commonly used across statistical approaches including regression analysis and t-tests because it determines the statistical importance or significance in testing a hypothesis. According to Frost…… [Read More]

Regression vs Correlation Correlation Is Used to

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…… [Read More]

Economic and Quantitative Analysis Topics Roughly Six

economic and quantitative analysis topics, roughly six in total. Those topics, in order, are focus on a non-core variable (and model) for the country of Nigeria, analysis of the World Bank World Development Indicators (WDI) model, comments on regression and the validity questions rising from within, the general problems and issues with regression analysis in general, whether any of the variable in the author's personal model have problems related to non-stationarity, and finally a suggestion of any changes to the models mentioned previously based on the outcomes that came about and the policy implications that can be garnered from this analysis.

Nigeria Non-Core Variable

The government and economics of Nigeria heavily focuses on exports of its vast mineral, petroleum and natural gas resources. An industry that has been a microcosm as compared to those exports over the recent years and decades has been the service sector (Nigeria, 2012). In many…… [Read More]

Communicating the Results of a Multiple Regression

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…… [Read More]

Correlation and Simple Linear Regression

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…… [Read More]

Linear Regression Examples

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…… [Read More]

Correlations and Regression

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…… [Read More]

ANOVA Analysis Is Derived From Analysis of

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…… [Read More]

Managerial Assessments of the Applications of Regression

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.…… [Read More]

Multiple Regression it Is Hypothesized That Self-Efficacy

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…… [Read More]

Economic Analysis of the Operating Cost That

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…… [Read More]

Correlation and Regression Using an

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… [Read More]

Qualitative and Quantitative Data Analysis

.....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…… [Read More]

Correlation Statistics V Regression Statistics

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…… [Read More]

psychology'statistics t test and multiple regressions

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…… [Read More]

Quantitative and Qualitative Data Analysis Essay

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…… [Read More]

Final Term Paper State Health Systems and Regressional Analysis

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…… [Read More]

Linear Regression Models Meier Chapter

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…… [Read More]

Behavioral Finance and Analysis of American Financial

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…… [Read More]

Multiple Liner Regression to Determine the Time

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…… [Read More]

Run Linear-Linear and Log-Log Regression

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…… [Read More]

U8D1 Regression Discontinuity and Correlation

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…… [Read More]

Sorting and Regression-Discontinuity Design in

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…… [Read More]

Genome Wide Association Study Analysis for OCD Complications

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…… [Read More]

Logistic or Simple Linear Multiple Correlation Regression

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…… [Read More]

Statistical Analysis with SPSS Linear Regression Models

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…… [Read More]

Quasi-Experiments Observational and Archival Studies and Secondary Analysis

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…… [Read More]

Widgecorp the Idea Behind Using a Regression

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…… [Read More]

Information Technology Amazon com Situation Analysis

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…… [Read More]

A concise Analysis of financial performance of companies

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…… [Read More]

Training Needs Analysis Practices for Managers A

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…… [Read More]

Applied Behavior Analysis and Autism

Applied Behavior Analysis and Autism

Applied Behavior Analysis & Autism

Reichow, B. And Wolery, M. (2008, June). Comprehensive synthesis of early intensive behavioral interventions for young children with autism based on the UCLA Young Autism Project model. Journal of Autism and Developmental Disorders, 39, 23-41. DOI 10.1007/s10803-008-0596-0

The use of applied behavior analysis as a treatment intervention for young children with autism is a frequently used and applauded model. The researcher most commonly associated with applied behavior analysis is Ivar Lovaas of the University of California at Los Angeles. Lovaas work with applied behavior analysis, commonly referred to as ABA, began in the 1960s. Eventually, Lovaas work culminated in the establishment of the early intensive behavioral intervention (EIBI) programs for young children with autism independent of UCLA, but which were based on Lovaas' Young Autism Project (YAP). A comprehensive review of 10 intervention programs by the Committee on Educational Interventions…… [Read More]

Unit of Analysis in a Research Project

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…… [Read More]

Using Regression to Analyze Business

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…… [Read More]

Financial Management and Analysis

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…… [Read More]

Juvenile Recidivism Rates and Analysis

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…… [Read More]

An indepth analysis of Black Women Diversity and Inclusion Programs

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,…… [Read More]

Psychoanalytic and Adlerian Therapies Analysis

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…… [Read More]

Growth Rate Slow Model 1992 Is an

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…… [Read More]

Employee Compensation Plans

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.…… [Read More]

Managerial and Economics and Globalization

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…… [Read More]

Predictors of the Transition From Experimental to

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,…… [Read More]

What Has Led to the Change in Custom Jewelry in Last 5 Years

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…… [Read More]

Large Defense Contractor and Am

" 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…… [Read More]

Predictors of Average Life Expectancy

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…… [Read More]

Probability Provides a Measurable and Quantifiable Indication

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… [Read More]

Actuarial Science Modeling the Objective of This

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…… [Read More]

Demand for Money the International Community Is

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…… [Read More]