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.)