A sufficient condition related to mistaken intuition about adjusted sums-of-squares in linear regression

Max D. Morris; Stephen B. Vardeman

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

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Year of publication:	2004
Authors:	Morris, Max ; Vardeman, Stephen B.
Publisher:	Dortmund : Univ., SFB 475
Subject:	Regression (STW) \| Theorie (STW) \| Methode der kleinsten Quadrate (STW) \| Theorie \| Theory \| Regressionsanalyse \| Regression analysis \| Kleinste-Quadrate-Methode \| Least squares method

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