Suppose that a certain university compares the Math SAT and Verbal SAT scores (M-SAT and V-SAT, respectively) for the entering class. Assume the scatterplot of M-SAT and V-SAT scores has a "football" shape, so that to apply linear regression to average assocation is reasonable. The summary statistics: Average M-SAT = 560 SD of M-SAT = 120 Average V-SAT = 540 SD of V-SAT = 110 Correlation coefficient 0.66 Suppose one of the students in this class will take the SAT again and improve his V-SAT score by 55 points. Someone asks, "By how much will his M-SAT improve?" Regarding the regression method, what can be said in response to this question? O The regression method predicts the student's M-SAT will improve by 39.6 points. O The regression method does not apply to answering this question. O The regression method predicts the student's M-SAT will, on average, improve by 33.275 points. O The regression method predicts the student's M-SAT will improve, but not by how much. The regression method predicts the student's M-SAT will improve by 33.275 points. The regression method predicts the student's M-SAT will, on average, improve by 39.6 points