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

Question

Quizplus · Accepted Answer

Stepwise regression permits variables to enter and leave the model at different stages of its development. This method automatically selects the best combination of predictors, thus helping to avoid overfitting or underfitting the model. It starts with no predictor variables and sequentially adds or removes them to minimize the error (such as AIC or BIC). This technique is commonly used in multiple regression to select important predictors and to build a robust model that explains the relationship between the dependent variable and independent variables.

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