Which of the following iterative search procedures for model building in a multiple regression analysis adds variables to the model as it proceeds, but does not re-evaluate the contribution of previously entered variables?
A)backward elimination
B)stepwise regression
C)forward selection
D)all possible regressions
E)forward elimination

Question

Quizplus · Accepted Answer

Forward selection adds variables to the model as it proceeds, but does not re-evaluate the contribution of previously entered variables. It considers only the variables that improve the model's fit at each step. Backward elimination and stepwise regression re-evaluate the contribution of previously entered variables, whereas all possible regressions considers all combinations of variables regardless of their significance. Forward elimination is not a valid iterative search procedure.

Which of the Following Iterative Search Procedures for Model Building