In a Regression Model, If Independent Variables Exhibit Multicollinearity, Then

Multiple Choice

In a regression model, if independent variables exhibit multicollinearity, then:

A) the strength of association of variables changes according to the beta coefficient.
B) determination of the best fitting line requires maximization of the vertical distances of all the points from the line.
C) standardization augments the effects of using different scales of measurement.
D) computing factor scores is the least effective approach to regression analysis.
E) the estimation of separate regression coefficients for the correlated variables becomes difficult.