Chapter 3: Predictive Validation of Multivariate Models: Regression vs. Trees


Chapter 3 of Multivariate Methods for Market and Survey Research

The chapter provides a comparative analysis of regression models and tree analysis. The text describes the superiority of tree analysis due to its capabilities with exploratory research, fewer assumptions about data, and with large sample sizes. The criterion for superiority is based on the model’s ability to make predictions on new data.


Book Information

ISBN: 9781613111697
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Author information

J. Scott Armstrong J. Scott Armstrong

Professor J. Scott Armstrong has been a member of the Wharton Marketing Faculty since 1968. In 1989, a University of Maryland study ranked Professor Armstrong among the top 15 marketing professors in the U.S. In 1996, he was selected as one of the first six Honorary Fellows by the International Institute of Forecasters. He is a co-developer of new methods including rule-based forecasting, causal forces for extrapolation, simulated interaction, and structured analogies. In addition to forecasting, Professor Armstrong has published papers on survey research, educational methods, applied statistics, social responsibility, strategic planning, and scientific peer review.

James G. Andress James G. Andress

Mr. James G. Andress is a veteran of the health care and pharmaceutical industry who has served in senior management positions at SmithKline Beecham, Sterling Drug, Inc. and Abbott Laboratories. He serves on the boards of Allstate Corporation, Dade Behring, Inc., Sepracor, Inc. and Xoma Corporation. Andress has an MBA in marketing and finance from the Wharton School of Finance and Commerce and a BS in engineering from the United States Military Academy at West Point.


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