2. The data below are the number of absences and the final grades of 9 randomly selected students from a literature class. Number of absences, x 0 3 16 9 2 15 8 5 Final grade, y 98 86 80 82 1 92 55 76 82 a. Find the linear correlation coefficient. Interpret this in the context of the data. b. Find the linear regression equation. Round the regression line values to the nearest hundredth. What is the slope and the y-intercept? Interpret the slope and the y-intercept in the proper context of the problem. c. What would be the predicted final grade if a student was absent 14 times? Show computations. d. "If the student got a grade of 65, what is his number of absences as specified in this regression model? e. Find the coefficient of determination. Interpret this. f. Is the linear regression equation a good model for prediction? Why