Provides a method of evaluating multiple process inputs without the use of a designed experiment. Stepwise regression is a highly automated, "black-box" solution that automatically determines which inputs should be included in a predictive model for the output. It also allows you to predict the value of the output Y for any combination of values of the inputs (X's).
|When to Use||Purpose|
|Mid-project||In projects wherein you do not test multiple inputs using a designed experiment, you can use stepwise regression to determine which inputs are the key inputs, develop a predictive model using the key inputs, and find the optimal settings of the key inputs.|
Continuous Y, numeric X's (Note: You can convert categorical X's into indicator variables.)