Use this data to develop a regression that will predict student grade based on study hours.
Study Hours Test Grade
5 67
15 94
17 93
16 92
14 91
3 65
12 85
11 95
13 84
20 99
4 65
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