Question 8 1 pts Consider the payouts below (from the instructor website) for the Ole Miss football team based on wins for the season. 1.15 Wins(x) Pay(y) (unit = $106) 9 3.5 8 1.4375 6 7 1.15 7 1.8375 6 1.15 9 22 8 22 8 22 6 1 7 1.8375 9 4.1 We wish to perform a regression analysis for the given model; Vi = Bo + B1X; + Ei, where e; iid N(0, 0)$106. In order to do this we need to set up the X matrix having size (Select] , and y vector having size (Select] From this we can get the least squares approximation to the B vector, having size (Select] Of course we'll need to find the projection matrix H having size [Select We also know that His [Select] Question 8 1 pts Consider the payouts below (from the instructor website) for the Ole Miss football team based on wins for the season. 1.15 Wins(x) Pay(y) (unit = $106) 9 3.5 8 1.4375 6 7 1.15 7 1.8375 6 1.15 9 22 8 22 8 22 6 1 7 1.8375 9 4.1 We wish to perform a regression analysis for the given model; Vi = Bo + B1X; + Ei, where e; iid N(0, 0)$106. In order to do this we need to set up the X matrix having size (Select] , and y vector having size (Select] From this we can get the least squares approximation to the B vector, having size (Select] Of course we'll need to find the projection matrix H having size [Select We also know that His [Select]