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Proper linear model

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This is an old revision of this page, as edited by Qwfp (talk | contribs) at 14:09, 12 March 2008 (bolden "improper linear model" (created redirect from there), +{{unreferenced}}). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.

In statistics, a proper linear model is a linear model in which the weights given to the predictor variables are chosen in such a way as to optimize the relationship between the prediction and the criterion. Simple regression analysis is the most common example of a proper linear model. Unit-weighted regression is the most common example of an improper linear model.

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