evaluate the following statements about models with high multicollinearity: (a) When we have a multiple linear regression model, the interpretations of the coefficients (slopes) can be very misleading if a model has high multicollinearity. (b) When we create a model to predict the variable Y, having high multicollinearity in the model will make the predicted value of Y less accurate than a model with no multicollinearity. Which of the statements above are true? Question 20 options: (a) only (b) only both (a) and (b) are true neither (a) nor (b) are true