Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/2827
Appears in Collections:Psychology Journal Articles
Peer Review Status: Refereed
Title: Multiple regression
Author(s): Cahusac, Peter
Contact Email: p.m.b.cahusac@stir.ac.uk
Keywords: Statistics Methodology
Regression analysis
Issue Date: Oct-2010
Date Deposited: 6-Apr-2011
Citation: Cahusac P (2010) Multiple regression. Physiology News, (80), pp. 12-15. http://jp.physoc.org/content/suppl/2010/10/29/jphysiol.2009.181743.DC3/Autumn_2010_-__Number_80.pdf
Abstract: In this Techniques article Peter Cahusac explains multiple regression, a much used statistical procedure, but one that is frequently misunderstood or misused. Multiple regression allows the effects of many explanatory (independent) variables on the measured (dependent) variable to be analysed simultaneously for situations when a single explanatory variable fails to account for most of the variation in the dependent variable – a common occurrence.
URL: http://jp.physoc.org/content/suppl/2010/10/29/jphysiol.2009.181743.DC3/Autumn_2010_-__Number_80.pdf
Rights: The publisher has granted permission for use of this article in this Repository. The article was first published in Physiology News by The Physiological Society.

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