Y GPA mean = 3.25, with standard deviation = .45 X UAT mean = 10.50, with standard deviation = 4.25. GPA and UAT scores are correlated at . 65. a) From these data, calculate the equation for the regression line. b) Using the regression equation, what first-year GPA would you predict for students who obtained the following scores on the UAT? i. UAT =4 ii. UAT = 10 111. UAT = 17 c) In regression, we refer to the differences between students' actual GPA and their predicted GPA as . (1-2 words will suffice)