In: Statistics and Probability
final exam scores and the number of missed classes.
Student ID |
Exam score |
Class missed |
Z exam |
Z class missed |
|
A |
90 |
0 |
A |
1.46 |
-1.46 |
B |
80 |
1 |
B |
0.88 |
-0.88 |
C |
70 |
3 |
C |
0.29 |
0.29 |
D |
60 |
2 |
D |
-0.29 |
-0.29 |
E |
50 |
4 |
E |
-0.87 |
0.88 |
F |
40 |
5 |
F |
-1.46 |
1.46 |
Mean |
65 |
2.5 |
|||
SD |
17.08 |
1.71 |
|
a. Compute correlation coefficient b. Compute appropriate values to generate a regression equation predicting exam score from the number of classes missed based on the data. c. Compute Standard error of prediction for exam score from the number of classes missed. d. Now compute appropriate values to generate a regression equation predicting the classes missed from the exam score based on the above data. |