A Sufficient Condition Related to Mistaken Intuition about "Adjusted" Sums-of-Squares in Linear Regression

dc.contributor.author	Morris, Max D.	de
dc.contributor.author	Vardeman, Stephen B.	de
dc.date.accessioned	2004-12-06T18:38:39Z
dc.date.available	2004-12-06T18:38:39Z
dc.date.issued	2004-01-05	de
dc.description.abstract	We consider a misconception common among students of statistics involving "adjusted" and "unadjusted" sums-of-squares. While the presence of misconception has been noted before (e.g. Hamilton (1986)), we argue that it may be related to the language we use in describing the meaning of sums-of-squares. For linear regression with two independent variables, we then present a sufficient condition for SSR( X1 \| X2 ) > SSR( X1 ) in terms of the signs of the sample correlations between pairs of predictor and response variables, and note how this sufficient condition may also be related to misconceptions held by some students of statistics.	en
dc.format.extent	133213 bytes
dc.format.mimetype	application/pdf
dc.identifier.uri	http://hdl.handle.net/2003/4860
dc.identifier.uri	http://dx.doi.org/10.17877/DE290R-6910
dc.language.iso	en	de
dc.publisher	Universitätsbibliothek Dortmund	de
dc.subject.ddc	310	de
dc.title	A Sufficient Condition Related to Mistaken Intuition about "Adjusted" Sums-of-Squares in Linear Regression	en
dc.type	Text	de
dc.type.publicationtype	report	en
dcterms.accessRights	open access

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