multicollinearity

Noun.  (statistics) A phenomenon in which two or more predictor variables in a multiple regression model are highly correlated, so that the coefficient estimates may change erratically in response to small changes in the model or data.

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This entry was last updated on RefTopia from its source on 3/20/2012.