In a regression model you find that through are all highly but not perfectly correlated. What impact with this multicollinearity have on ( )? A. This will make our estimator less precise B. This will make our 1 estimator more precise C. This type of multicollinearity won't impact the precision of 1 D. The impact depends on the underlying 2 and values 1