Illusions in Regression Analysis

dc.contributor.authorArmstrong, J. Scott
dc.date2023-05-17T06:42:02.000
dc.date.accessioned2023-05-22T23:41:55Z
dc.date.available2023-05-22T23:41:55Z
dc.date.issued2011-11-21
dc.date.submitted2011-11-21T08:48:57-08:00
dc.description.abstractSoyer 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.
dc.description.commentsArmstrong, J.S. (2011). Illusions in Regression Analysis. Forthcoming in International Journal of Forecasting, 2012.
dc.identifier.urihttps://repository.upenn.edu/handle/20.500.14332/39332
dc.legacy.articleid1190
dc.legacy.fulltexturlhttps://repository.upenn.edu/cgi/viewcontent.cgi?article=1190&context=marketing_papers&unstamped=1
dc.legacy.nativeurlhttps://repository.upenn.edu/context/marketing_papers/article/1190/type/native/viewcontent
dc.source.issue173
dc.source.journalMarketing Papers
dc.source.statuspublished
dc.subject.otherForecasting
dc.subject.otherMarketing
dc.subject.otherSocial Responsibility in Management
dc.subject.otherStrategic Planning
dc.subject.otherApplied Statistics
dc.subject.otherBusiness
dc.subject.otherSocial and Behavioral Sciences
dc.titleIllusions in Regression Analysis
dc.typeWorking Paper
digcom.identifiermarketing_papers/173
digcom.identifier.contextkey2363825
digcom.identifier.submissionpathmarketing_papers/173
digcom.typeworkingpaper
dspace.entity.typePublication
relation.isAuthorOfPublication23e4ecd3-2c1e-4a2e-b1d7-f8c2c3427fb3
relation.isAuthorOfPublication.latestForDiscovery23e4ecd3-2c1e-4a2e-b1d7-f8c2c3427fb3
upenn.schoolDepartmentCenterMarketing Papers
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