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Problem:
The data below represent the number of days? absent, x, and the final? grade, y, for a sample of college students at a large university. Complete parts? (a) through? (e) below.
No. of? absences, x
0
1
2
3
4
5
6
7
8
9
Final? grade, y
88.7
85.7
82.7
80.1
77.0
72.5
63.0
67.2
64.2
61.2
(a) Find the? least-squares regression line treating the number of? absences, x, as the explanatory variable and the final? grade, y, as the response variable.
y=____x+____
(b) Predict the final grade for a student who misses five class periods and compute the residual. Is the observed final grade above or below average for this number of? absences?
The predicted final grade is ____. This observation has a residual of ____?,which indicates that the final grade is (above ,below, average.)
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