![]() Now, let's make this process a bit more concrete. We stop when no more predictors can be justifiably entered or removed from our stepwise model, thereby leading us to a " final model." First, we start with no predictors in our " stepwise model." Then, at each step along the way we either enter or remove a predictor based on the partial F-tests - that is, the t-tests for the slope parameters - that are obtained. The procedureĪgain, before we learn the finer details, let me again provide a broad overview of the steps involved. For the sake of illustration, the data set here is necessarily small, so that the largeness of the data set does not obscure the pedagogical point being made. ![]() The stepwise procedure is typically used on much larger data sets for which it is not feasible to attempt to fit all of the possible regression models. ![]() ![]() Note! The number of predictors in this data set is not large. ![]()
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