a. on Time left 1:15:18 Question 2 regression prediction calculation 30 points: For the data given below. Fit a linear regression model that is able to predict points scored per game of pingpong considering the average height of the players toss. Fit the regression model by calculating the slope and intercept (using the equations given here) (20 points) (x - 3)(y-7) Slope a= (x (x - 1)? intercept b=y-ax where overbar denotes average b. Calculate the MSE for the model you obtain in Part A (10 points) Show all calculations. You can use excel if you want but you must still show all calculations and equations in cells and as text. Data Point Average Points per height of game toss 1 6.8 9.2 2 62 8.6 3 6.9 23.2 4 6.4 27.4 5 6.3 93 6 68 16 7 6.7 125 8 5.9 20.1