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Communicating the Results of a Multiple Regression Analysis
Business 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 or which combination of variables should be included in the model. Regression is then used to determine if the contribution of each explanatory variable in a model captures much of the variability in the response variable. (Kuiper, 2008) Standard information to report in a multiple regression table includes those stated as follows:
(1) Dependent variable;
(2) Explanatory variables;
(3) Estimates for constant term and coefficient estimates for explanatory variables;
(4) Standard errors for estimates above;
(5) Indication of which variables are...
(Kuiper, 2008, p.1)
The techniques used are dependent upon the analysis. Many times tables are used. Tables are reported as having a four-fold purpose and specifically tables:
(1) Serve an exploratory function. Data can contain answer to questions that may be explicit in the viewer's mind.
(2) Tables have a communication function: once data are explored data can be displayed to communicate what has been discovered. Tables are reported to provide data in a form that is condensed and easier to understand;
(3) Tables serve a storage function: data are expensive to gather and summarization of the data serves as a precaution against data loss. IN addition, it is reported that tables enable the replication of statistical analyses by others and tables enable data to be transferred in aggregate form.
(4) Tables serve a decorative function: Tables are used to invite the participation of the reader. Due to multiple regression analysis complexity there is not an accepted form for presentation of results. Charts, graphs, and figures are much less common in social science research that is published due to the fact that it is expensive to publish these. However, use of graphs, figures, and charts to present data are all effective methods of data presentation. (Kuiper, 2008, p.1) There are two potential problems to avoid in the use of figures. First the figures should avoid the misrepresentation of data due to ignoring important data features. When data…
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/
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