Multicollinearity refers to a situation where _________.
- All variables in a model are perfectly uncorrelated
- Two or more predictors in a regression model are highly correlated
- Two variables are uncorrelated
- Two variables have a correlation coefficient of zero
Multicollinearity refers to a situation in which two or more predictors in a regression model are highly correlated, meaning that one can be linearly predicted from the others with a substantial degree of accuracy.
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