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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.
Justify your answers using examples and reasoning. Comment on the postings of at least two peers and state
whether you agree or disagree with their views.
Sample Solution
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