A situation where two or more independent variables in a regression model are highly correlated is known as ________.
- autocorrelation
- heteroscedasticity
- homoscedasticity
- multicollinearity
Multicollinearity refers to a situation in which two or more independent variables in a regression model are highly linearly related. This can lead to unstable estimates of the regression coefficients and make it difficult to assess the effect of independent variables on the dependent variable.
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