Forward selection and stepwise regression are similar in the sense that, if they have the same a-level for testing a term,
(a) They always select the same final regression model.
(b) They always select the same initial regression model (when they enter the first explanatory variable).
(c) Any variable not in the final model does not have a significant partial association with y, controlling for the variables in the final model.
(d) It is impossible that all the variables listed for potential inclusion are in the final model.
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