Multicollinearity exists in multiple regression when two or more independent variables are highly correlated with each other.

Name: Multicollinearity exists in multiple regression when two or more independent variables are highly correlated with each other.
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Question

Quizplus · Accepted Answer

Multicollinearity occurs when there is a high correlation between two or more independent variables. This can cause issues in regression analysis, such as unstable coefficients and difficulty in interpreting the impact of individual variables.

Multicollinearity Exists in Multiple Regression When Two or More Independent