Backward Entry Method
The Backward Entry Method is the simplified version of the Backward Stepwise Method. It is the exact opposite of the Forward Entry Method.
As in the Backward Stepwise Method, this method begins with the model containing all potential predictors. It identifies the variable with the largest p-value, and if the p-value is greater than the p2, remove, the variable is dropped. This method eliminates the step of forward entering, or re-entering of the variable once it has been removed.