The problem of multicollinearity arise when the: O A. independent variables are highly correlated with the dependent variables OB. independent variables are highly correlated with one another OC. dependent variables are highly correlated with one another OD. both independent and dependent variables are highly correlated with one another

MATLAB: An Introduction with Applications
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The problem of multicollinearity arise when the:
OA. independent variables are highly correlated with the dependent variables
OB. independent variables are highly correlated with one another
OC. dependent variables are highly correlated with one another
OD. both independent and dependent variables are highly correlated with one another
To test the validity of a multiple regression model, we test the null hypothesis that the regression coefficients are all zero. We apply:
OA. the F –test
OB. the z –test
OC. the t -test
OD. either the t –test or the z –test
Transcribed Image Text:The problem of multicollinearity arise when the: OA. independent variables are highly correlated with the dependent variables OB. independent variables are highly correlated with one another OC. dependent variables are highly correlated with one another OD. both independent and dependent variables are highly correlated with one another To test the validity of a multiple regression model, we test the null hypothesis that the regression coefficients are all zero. We apply: OA. the F –test OB. the z –test OC. the t -test OD. either the t –test or the z –test
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