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Multicollinearity
A statistical phenomenon where several independent variables in a model are correlated, impacting the model’s accuracy.
Dependent Variables
Variables in an experiment or model that are expected to change as a result of changes in the independent variables.
Multicollinearity
A situation in multiple regression where one predictor variable in the model can be linearly predicted from the others with a substantial degree of accuracy.
Multicollinearity
A statistical phenomenon in which two or more predictor variables in a multiple regression model are highly correlated.
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