Use this data to develop a regression that will predict student grade based on study hours.

Use this data to develop a regression that will predict student grade based on study hours.

Study HoursTest Grade

567

1594

1793

1692

1491

365

1285

1195

1384

2099

465

What do you come up with for the sum of squares error? I'm coming up with 38.85 but that is incorrect.

Based on this regression model, if a student spends an average of 11 hours per week studying, what will his/her expected test grade be?

1)    Which of these statements below is true?

A.   88% of the variability of the test grades is explained by the number of hours studied

B.   94% of the variability of the hours studied is explained by the test grade

C.   88% of the variability of both variables is explained by the regression

D.   Both B and C are true