In multiple regression analysis, a situation in which at least some independent variables in a set are highly correlated with each other. ... Origin: multi-+ L. Col-lineo, to line up together ... (05 Mar 2000) ...
Found on http://www.mondofacto.com/facts/dictionary?multicollinearity
a case of multiple regression in which the predictor variables are themselves highly correlated
Found on http://wordnetweb.princeton.edu/perl/webwn?s=multicollinearity
Multicollinearity is a statistical phenomenon in which two or more predictor variables in a multiple regression model are highly correlated. In this situation the coefficient estimates may change erratically in response to small changes in the model or the data. Multicollinearity does not reduce the predictive power or reliability of the model as
Found on http://en.wikipedia.org/wiki/Multicollinearity
Multi-collinearity is a statistical term for the lack of independence between variances. In other words, whether Variance A occurs depends somewhat on whether Variance B occurs, and vice versa....
Found on http://www.oenb.at/dictionary/termini.jsp?EINTRAG_ID=16299
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