JSM 2003 Online Program

Abstract #301488

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Activity Number:	181
Type:	Contributed
Date/Time:	Monday, August 4, 2003 : 2:00 PM to 3:50 PM
Sponsor:	Section on Statistical Education
Abstract - #301488
Title:	Using StepWise Selection to Help Teach Model Building in Regression
Author(s):	J. Burdeane Orris*+ and Bruce L. Bowerman
Companies:	Butler University and Miami University
Address:	4600 Sunset Blvd., Indianapolis, IN, 46208-3443,
Keywords:
Abstract:	Standard regression software packages typically do not simultaneously present both overall regression statistics (s, R^2,adjusted R^2, Cp) and the p-values for the independent variables in the different possible regression models. Furthermore, standard stepwise regression procedures can fail to find the best models. We illustrate stepwise selection, a modified all-possible regressions and stepwise regression procedure--implemented by the Excel add-in package MegaStat®--that remedies these problems and improves the teaching of model building.

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