3. You want to see if the learners' Graduate Record Exam (GRE) scores are predictive of grades once enrolled at the university. If in your model R2 = .17 how much of the variation in grades are explained by GRE scores?

a. 1.7%

b. 83%

c. 17%

d. There is not enough information provided to tell.

4. What would the null hypothesis be for the research question explored using simple linear regression in the previous question?

a. There is a positive linear relationship between GRE scores and grades.

b. There is a negative linear relationship between GRE scores and grades.

c. There is a linear relationship between GRE scores and grades that could be either positive or negative.

d. There is no linear relationship between GRE scores and grades.