Provides a method of evaluating multiple process inputs without the use of a designed experiment. Regression is a mathematical method for establishing the best fit relationship between a process output Y and multiple process inputs (X's, also called predictors). Multiple regression enables you to predict the output Y for any combination of input values (X's).
|When to Use||Purpose|
|Mid-project||In projects where testing of multiple inputs is not done using a designed experiment, use multiple 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: Categorical X's can be converted into indicator variables.)