[Ezra Halleck]

12) The following data represent the number of days absent (X) and final grade (Y) for college students in a general education course.
a) Find the coefficient of correlation.
b) Using the coefficient of correlation, can you say that students with fewer absences (good attendance) are more likely to score higher on a final exam? Give reasons to your answer.
c) Find the equation of the regression line.
d) If one has 5 absences, can you predict using the regression line equation, what final grade will he/she get?
e) If one has 11 absences, can you predict using the regression line equation, what final grade will he/she get?
X=Absences Y=Final Grade
2 83.5
5 73.9
7 71.8
3 81.1
9 66.2
6 64.3
4 78.2
8 65.5
0 89.2
1 86.4
Use sum x is 45, sum of y is 760.1, sum of x^2 is 285, sum of y^2 is 58510 and sum of xy is 3187.2