In multiple regression analysis, which procedure permits variables to enter and leave the model at different stages of its development?
A) forward selection
B) residual analysis
C) backward elimination
D) stepwise regression

Question

Quizplus · Accepted Answer

Stepwise regression allows for variables to enter and leave the model at different stages based on predetermined criteria, such as significance levels or adjusted R-squared values. Forward selection and backward elimination only allow for variables to enter or leave the model at predetermined stages, while residual analysis is a method for assessing the fit of the model rather than selecting variables. Therefore, stepwise regression is the best choice for this scenario.

In Multiple Regression Analysis, Which Procedure Permits Variables to Enter