the questions below correctly with good explanation 16. The logarithmic transformation can make a time series stationary by a. stabilizing the mean b. stabilizing the variance c. stabilizing both the mean and the variance d. stabilizing neither the mean nor the variance 17. Given the regression equation y-hat = 15.6 - 3.8x, the predicted y for x = 3 is ___________. 18. What does R2 , the coefficient of determination, measure? a. the probability of the true value falling within the forecast interval b. the p-value on the coefficient we are using to test our hypothesis of interest c. the confidence interval of the error terms as determined by the coefficients d. the proportion of the variation in y explained by x within the regression model