Forward Regression

Multiple Choice

Forward regression

A) begins with all potential explanatory variables in the equation and deletes them one at a time until further deletion would do more harm than good.
B) adds and deletes variables until an optimal equation is achieved.
C) begins with no explanatory variables in the equation and successively adds one at a time until no remaining variables make a significant contribution.
D) randomly selects the optimal number of explanatory variables to be used.