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	89.4	86.4	83.4	80.8	77.8	73.4	63.8	68.1	65.2	62.2

(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.)