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In a Multiple Regression Analysis, the Following Correlation Matrix Was

Question 96

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In a multiple regression analysis, the following correlation matrix was computed. In a multiple regression analysis, the following correlation matrix was computed.   What does the correlation matrix suggest about the independent variables? A)  X<sub>1</sub><sub> </sub>and X<sub>2</sub><sub> </sub>are correlated. B)  No correlation between the independent variables. C)  All 4 independent variables are highly correlated with each other, therefore multicollinearity exists. D)  X<sub>1</sub><sub> </sub>and X<sub>4</sub>. E)  X<sub>2</sub><sub> </sub>and X<sub>4</sub><sub> </sub>are correlated as well as X<sub>1</sub><sub> </sub>and X<sub>3;</sub> therefore multicollinearity exists. What does the correlation matrix suggest about the independent variables?


A) X1 and X2 are correlated.
B) No correlation between the independent variables.
C) All 4 independent variables are highly correlated with each other, therefore multicollinearity exists.
D) X1 and X4.
E) X2 and X4 are correlated as well as X1 and X3; therefore multicollinearity exists.

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