wn The scatterplot shows the Exam 1 and Exam 2 scores for a class of 1400 differential calculus students during a single semester. The x coordinate is the exam 1 score; the ycoordinate is the exam 2 score. Based on the picture, you may assume correlation and regression is appropriate to use for this data set, and assume scores need not necessarily be integer values. The summary statistics: Average Exam 1 score = 75.56 SD = 20.26 Average Exam 2 score = 67.23 SD = 24.42 1' = 0.82 Set up the regression equation for estimating Exam 2 scores based off Exam 1 scores for these data (give slope and intercept to two decimal places): y = :c-l Among students in this group who got a 90 on Exam 1, the average score on Exam 2 is about and the SD is about (Use the regression line and its associated rmserror to fill in the blanks, to two decimal places.)