Simultaneous Inference and the Choice of Variable Subsets in Multiple Regression

Abstract

Simple methods are described for controlling the family error rate for simultaneous tests for the choice of subsets of predictor variables in multiple regression. The cases of fixed and random predictors are considered, and in the latter case a class of "adequate" regression equations is obtained, characterized by a lower bound on the sample multiple correlation coefficient.