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...
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http://en.wikipedia.org/wiki/Multicollinearity
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) ...
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http://www.encyclo.co.uk/local/20973
noun a case of multiple regression in which the predictor variables are themselves highly correlated
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https://www.encyclo.co.uk/local/20974
Multicollinearity is a statistical phenomenon in which multiple independent variables show high correlation between each other. In other words, the variables used to predict the independent one are too inter-related.
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https://www.myaccountingcourse.com/accounting-dictionary/accounting-diction
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