In a “forward” stepwise regression analysis, the computer will begin by examining every possible simple linear regression model, and will show you the one with the highest coefficient of determination ...

The former adds variables to the model, while the latter removes variables from the model. Stepwise regression analysis is requested by specifying the SELECTION=STEPWISE option in the MODEL statement.

This method is the default and uses the full model given in the MODEL statement to fit the linear regression. forward selection ... An option enables you to specify the criterion for exclusion.

Forward stepwise linear regression suggested that the percentage body fat measured at the end of exercise training, exercise duration, and programme length accounted for 53–86% of the variance for ...