A statistics student wants to determine if there is a relationship between a student's number of absences, and their grade point average (GPA), y. The given data lists the number of absences and GPAs for 15 randomly selected students 15 1 69 12 3 31 2 7 410 Number of Absences GPA 2.14.3 4.5 3.2 4.0 38 29 3.63.426 3.1 2.828 4.1 Using technology the y-intercept is 4.5 , which means a student with no absences has a GPA of 4.5 . O 4.5 which means a student with no absences is predicted to have a GPA of 4.5. which means a student with no absences is predicted to have a GPA of 3.79 . 3.79 , but it does not make sense to interpret the y-intercept in this context .