Discussion Post
Question I: Bivariate Regression
Regression analysis is a powerful and commonly used tool in business research. One important step in regression is to determine the dependent and independent variable(s).
In a bivariate regression, which variable is the dependent variable and which one is the independent variable?
i. What does the intercept of a regression tell? What does the slope of a regression tell?
ii. What are some of the main uses of a regression?
iii. Provide an example of a situation wherein a bivariate regression would be a good choice for analyzing data.
Question II: Types of Regression Analyses
There are two major types of regression analysis-simple and multiple regression analysis. Both types consist of dependent and independent variables. Simple linear regression has two variables-dependent and independent. Multiple regression consists of dependent variable and two or more independent variables.
i. How does a multiple regression compare with a simple linear regression?
ii. What are the various ways to determine what variables should be included in a multiple regression equation?
iii. Compare and contrast the following processes: forward selection, backward elimination, and stepwise selection.
The response should include a reference list. Double-space, using Times New Roman 12 pnt font, one-inch margins, and APA style of writing and citations.