Please help me and show work if possible so I can understand

a. 1.6points

b. 4points

c. 15points

Step-by-step explanation:

a. There is a very strong positive linear association between the differences in ratings and the corresponding difference of game scores.  There are no apparent outliers.  About 81% of the variation in score differences is explained by the difference in ratings of the two teams.  The slope is about 1.6.  An increase of 1 in the difference of ratings is expected to increase the score difference by 1.6 points. 

b. The LSRL is about y = 1.6x.  y = 1.6(74.27 − 76.61) = −3.74.  Marin Catholic is expected to win by about 4 points.

c. The model predicts the difference in scores to be y = 1.6(5) = 8 points.  Since residual = actual − predicted, 7 = actual = −8.  The actual difference in scores was 15 points.

it could 14.28 but if its not that one then it has to be the 17 one. hope this ! : )

step-by-step explanation: