A term used to describe the case when the independent variables in a multiple regression model are correlated is .

Multicollinearity                              

Explanation:

Multicollinearity: In statistics, the term "multicollinearity" is described as a situation in which two or more than two "explanatory variables" in a particular "multiple regression model" are being linearly related. The perfect multicollinearity occurs when the correlation between two different independent variables is considered as equal to -1 or 1.

In other words, multicollinearity generally occurs when "independent variables" are being correlated in a regression model.

In the question above, the given statement represents multicollinearity.

answer; (true);

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