Published Online: 15 DEC 2010
Copyright © 2011 John Wiley & Sons, Ltd. All rights reserved.
Wiley International Encyclopedia of Marketing
How to Cite
Franke, G. R. 2010. Stepwise Regression. Wiley International Encyclopedia of Marketing.
- Published Online: 15 DEC 2010
Stepwise regression is both a general term and a specific method for choosing predictor variables from a larger pool of possible predictors in multiple regression. Related approaches include forward selection and backward elimination. All three procedures may identify different and suboptimal sets of predictors for a given sample of data. Some regression packages can identify the best possible one-predictor model, two-predictor model, and so on, according to the criteria specified by the user. This approach is computer intensive but is feasible with sets of at least 50 or 60 predictors. However they are selected, the best set of predictors in one sample will often not be the best in another sample or in the underlying population. Significance tests and R
Keywords: regression; correlation; collinearity; variable selection; forward selection; backward elimination