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.

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