# What are the various ways to determine what variables should be included in a multiple regression equation?

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?

What does the intercept of a regression tell? What does the slope of a regression tell?
What are some of the main uses of a regression?
Provide an example of a situation wherein a bivariate regression would be a good choice for analyzing data.
Discussion 2

There are two major types of regression analysisâ€”simple and multiple regression analysis. Both types consist of dependent and independent variables. Simple linear regression has two variablesâ€”dependent and independent. Multiple regression consists of dependent variable and two or more independent variables.

How does a multiple regression compare with a simple linear regression?
What are the various ways to determine what variables should be included in a multiple regression equation?
Compare and contrast the following processes: forward selection, backward elimination, and stepwise selection.

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