A statistics student wants to determine if there is a relationship between a student's number of absences, x, and their grade point average (GPA), y. The given data lists the number of absences and GPAs for 15 randomly selected
students.
15
1
0
6
9
12
3
3
1
2
7
0
4.
9
10
Number of
Absences
GPA
2.1 4.3 4.53.2
4.0
1.7
3.8
2.9
3.6
3.4
2.6
3.1
2.8
2.8
4.1
Using technology, the slope of the least-squares regression line is
-0.10, which means for each additional absence, the GPA will decrease by 0.10 points.
0 -0.10, which means for each additional absence, the GPA is predicted to decrease by 0.10 points.
O 0.10, which means for each additional absence, the GPA will increase by 0.10 points.
O 0.10, which means for each additional absence, the GPA is predicted to increase by 0.10 points.