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.Using technology, the y-intercept is
Answer
A
4.5, which means a student with no absences has a GPA of 4.5.
B
4.5, which means a student with no absences is predicted to have a GPA of 4.5.
C
3.79, which means a student with no absences is predicted to have a GPA of 3.79.
D
3.79, but it does not make sense to interpret the y-intercept in this context.