Refer to question 9. Suppose that R2 = 0.66. Which of the following statements is an accurate interpretation of estimated coefficient of determination, R2 = 0.66, in the context of this study. Suppose that a student's ELL score is given by 250. What is their expected AP score ?

A. The percent of students at that school who are considered ELL causes API scores to increase by 0.66%

B. About 66% of API scores is explained by the linear regression with the percent of students at that school who are considered ELL.

C. About 66% of variation in the percent of students who are considered ELL in these schools is explained by the linear regression with API scores.

D. About 66% of variation in API scores is explained by the linear regression with the percent of students at that school who are considered ELL.

E. About 66% of the percent of students who are considered ELL in these schools is explained by the linear regression with API scores.