Illusions in Regression Analysis

Loading...
Thumbnail Image

Embargo Date

Related Collections

Degree type

Discipline

Subject

Forecasting
Marketing
Social Responsibility in Management
Strategic Planning
Applied Statistics
Business
Social and Behavioral Sciences

Funder

Grant number

License

Copyright date

Distributor

Related resources

Contributor

Abstract

Soyer and Hogarth’s article, “The Illusion of Predictability,” shows that diagnostic statistics that are commonly provided with regression analysis lead to confusion, reduced accuracy, and overconfidence. Even highly competent researchers are subject to these problems. This overview examines the Soyer-Hogarth findings in light of prior research on illusions associated with regression analysis. It also summarizes solutions that have been proposed over the past century. These solutions would enhance the value of regression analysis.

Advisor

Date Range for Data Collection (Start Date)

Date Range for Data Collection (End Date)

Digital Object Identifier

Series name and number

Publication date

2011-11-21

Volume number

Issue number

Publisher

Publisher DOI

Journal Issues

Comments

Armstrong, J.S. (2011). Illusions in Regression Analysis. Forthcoming in International Journal of Forecasting, 2012.

Recommended citation

Collection