In multiple regression,if there is multicollinearity between independent variables,the t-tests of the individual coefficients may indicate that some variables are not linearly related to the dependent variable,when in fact,they are.

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Multicollinearity among independent variables in multiple regression can inflate the variance of the coefficient estimates, leading to unreliable t-tests. This can make it appear as though some variables are not significantly related to the dependent variable, even if they are.

In Multiple Regression,if There Is Multicollinearity Between Independent Variables,the T-Tests