Suppose that we examine the relationship between high school GPA and college GPA. We collect data from students at a local college and find that there is a strong, positive, linear association between the variables.
The linear regression predicted college GPA = 1.07 + 0.62 * high school GPA.
The standard error of the regression, Se, was 0.374.
What does this value of the standard error of the regression tell us?
Group of answer choices:
The average error in predicted college GPA will be about ±0.374 grade points.
37.4% of the variation in college GPA is explained by this regression model.
37.4% of the variation in college GPA is not explained by this regression model.
The average difference between a student's college GPA and high school GPA will be about 0.374 grade points.