Editing Proper linear model

In [[statistics]], a '''proper linear model''' is a [[linear regression]] model in which the weights given to the predictor [[Variable (mathematics)|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'''.

== Bibliography ==
*{{Cite journal | last1 = Dawes | first1 = R. M. | title = The robust beauty of improper linear models in decision making | doi = 10.1037/0003-066X.34.7.571 | journal = American Psychologist | volume = 34 | issue = 7 | pages = 571–582 | year = 1979 | s2cid = 14428212 }}

[[Category:Regression models]]


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