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

Question

Quizplus · Accepted Answer

Stepwise regression allows variables to enter and leave the model at different stages based on their significance and contribution to the model. Residual analysis is a method for checking the assumptions and accuracy of the model after it has been developed. Backward elimination and forward selection are specific types of stepwise regression that have predefined rules for variables entering or leaving the model, whereas stepwise regression allows for more flexibility and adaptability in the model development process.

In Multiple Regression, the Procedure Permits Variables to Enter and Leave