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
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
Multicollinearity (also collinearity) is a statistical phenomenon in which two or more predictor variables in a multiple regression model are highly correlated, meaning that one can be linearly predicted from the others with a non-trivial degree of accuracy. In this situation the coefficient estimates of the multiple regression may change erratica
Found on http://en.wikipedia.org/wiki/Multicollinearity
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