The Backward Elimination of Stepwise Regression

Multiple Choice

The backward elimination of stepwise regression

A) sometimes misses the best model for a given number of predictors.
B) adds predictors one at a time starting with the best single predictor.
C) runs all possible models and then chooses the best one.
D) requires nonlinear estimation using maximum likelihood.