Answer true or false to each of the following statements and explain your answers. a. Provided we do not extrapolate, multicollinearity does not affect the ability of a regression equation to predict the response variable. b. If x1 and x2 are predictor variables in a regression equation, the variable x3 = x1 + x2 can be added to the regression equation without affecting the VIF of x1 or x2. c. The severity of multicollinearity can be reduced by removing one or more highly intercorrelated predictor variables from the regression equation.

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Answer true or false to each of the following statements and explain your answers.

a. Provided we do not extrapolate, multicollinearity does not affect the ability of a regression equation to predict the response variable.

b. If x1 and x2 are predictor variables in a regression equation, the variable x3 = x1 + x2 can be added to the regression equation without affecting the VIF of x1 or x2.

c. The severity of multicollinearity can be reduced by removing one or more highly intercorrelated predictor variables from the regression equation.

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