Determine the least-squares regression line for the data in Exercise 15.7, then calculate the sum of the squared deviations between y and y^.
Exercise
A scatter diagram includes the data points (x = 3, y = 8), (x = 5, y = 18), (x = 7, y = 30), and (x = 9, y = 32). Two regression lines are proposed: (1) , and (2) y^ = -2 4x. Using the leastsquares criterion, which of these regression lines is the better fit to the data? Why?