Respuesta :

If two predictor variables in a regression model are correlated, they are multicollinear. Multicollinearity occurs when two or more independent variables in a regression model are highly correlated with each other. This means that an independent variable can be predicted from another independent variable in a regression model.

Multicollinearity occurs when the independent variables in a regression model are correlated. This correlation is a problem because the independent variables must be independent. If the degree of correlation between variables is high enough, it can cause problems when you fit the model and interpret the results.

Learn more about Multicollinearity:

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