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- Q7250175 subject Q8646998.
- Q7250175 abstract "In statistics, a proper linear model is a linear regression 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.".
- Q7250175 wikiPageWikiLink Q10861030.
- Q7250175 wikiPageWikiLink Q12483.
- Q7250175 wikiPageWikiLink Q208042.
- Q7250175 wikiPageWikiLink Q50701.
- Q7250175 wikiPageWikiLink Q7887071.
- Q7250175 wikiPageWikiLink Q8646998.
- Q7250175 comment "In statistics, a proper linear model is a linear regression 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.".
- Q7250175 label "Proper linear model".