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.
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.