What Are The Consequences Of Multicollinearity?
What Are The Consequences Of Multicollinearity? Statistical consequences of multicollinearity include difficulties in testing individual regression coefficients due to inflated standard errors. Thus, you may be unable to declare an X variable significant even though (by itself) it has a strong relationship with Y. What are the causes and consequences of multicollinearity? Multicollinearity can adversely