Multicollinearity is a condition occurring when two or more independent variables in the same regression model can predict each other better than the dependent variable.

Question

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Multicollinearity occurs when there is a high correlation between two or more independent variables in a regression model, which means they can predict each other's values more accurately than they can predict the dependent variable. This can lead to unstable and unreliable regression coefficients and make it difficult to interpret the relationship between independent variables and the dependent variable.

Multicollinearity Is a Condition Occurring When Two or More Independent