| no. of absences, x | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
| Final exam score, y | 88.3 | 85.5 | 82.8 | 81.2 | 78.3 | 73.4 | 64.4 | 70.9 | 64.7 | 66.4 |
| n | |
| 3 | .997 |
| 4 | .950 |
| 5 | .878 |
| 6 | .811 |
| 7 | .754 |
| 8 | .707 |
| 9 | .666 |
| 10 | .632 |
| 11 | .602 |
| 12 | .576 |
| 13 | .553 |
| 14 | .532 |
| 15 | .514 |
| 16 | .497 |
| 17 | .482 |
| 18 | .468 |
| 19 | .456 |
| 20 | .444 |
| 21 | .433 |
| 22 | .423 |
| 23 | .413 |
| 24 | .404 |
| 25 | .396 |
| 26 | .388 |
| 27 | .381 |
| 28 | .374 |
| 29 | .367 |
| 30 | .361 |
The accompanying data represent the number of days absent, x, and the final exam score, y, for a sample of college students in a general education course at a large state university. Complete parts (a) through (e) below.
a) y = __x + __
b) interpret the slope and the y-intercept, if appropriate
c) predict the final exam score for a student who missed four and five class periods
Ans:
a)

Regression equation:
y'=-2.7727 x+88.067
b)slope indicate that for each absence there will be decrease of on average 2.7727 scores in final exam.
y-intercept indicates that if there is no absence,average score is 88.067
c)
For x=4,y'=-2.7727*4+88.067=76.98
For x=5,y'=-2.7727*5+88.067=74.20
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