In multiple regression,the presence of correlations among the independent variables is termed:
A)independence assumption.
B)multicollinearity.
C)additivity.
D)regression plane.
E)multicorrelation.

Question

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Multicollinearity is the presence of high correlations among independent variables in a multiple regression model. This can lead to unreliable regression coefficients and inflated standard errors, which may affect the overall model's predictive power.

In Multiple Regression,the Presence of Correlations Among the Independent Variables