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A regression equation for y = grade point average (GPA) and x = number of classes skipped in a typical week was found based on

A regression equation for y = grade point average (GPA) and x = number of classes skipped in a typical week was found based on self-reported data for a sample of n = 1,673 at a large northeastern university. The resulting equation is GPA = 3.25 -0.0614 x Skipped classes. One interpretation of the intercept is:

O A student who skipped no classes would be predicted to have a GPA of 3.25.

OA student who skipped one more class in a typical week than another student would be predicted to have a GPA that was 0.0614 lower than the other student.

O A student who skipped one more class in a typical week than another student would be predicted to have a GPA that was 0.0614 higher than the other student.

OA student who had a GPA of 3.25 would be predicted to skip no classes.

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