Question

Which of the following is a variable selection procedure that starts with a regression model with none of the independent variables and considers adding an independent variable at each step? stepwise selection backward elimination best subsets forward selection

Answer 1

The correct answer is stepwise selection. This is a variable selection procedure that starts with a regression model with none of the independent variables and considers adding an independent variable at each step. Stepwise selection, backward elimination, best subsets, and forward selection are all examples of variable selection procedures that are commonly used in regression analysis.