Student 12345678 Study Time 14 GPA Skipped 2.7 9 27 3.6 15 3.4 5 3.0 10 3.1 13 3.3 5 2.7 21 3.8 025322- 12 b. Find and interpret 2. Use the interpretation of 2 that (i) refers to the prediction error and (i) the percent of variability explained. 2-(Round to two decimal places as needed.) (1) Interpret 2 in terms of the prediction error. The overall prediction error using to predict y is % (Type a whole number.) (ii) Interpret in terms of the percent of variability explained. than the prediction error using y to predict y. Of the variability observed in college GPA. % can be explained by the linear relationship with study time. (Type a whole number.) A study investigated the relationship between x study time per week (average number of hours) and y college GPA. Use software or a calculator to complete parts a and b below Click the icon to view the table. a. Find and interpret the correlation. The correlation is (Round to two decimal places as needed.) Interpret the correlation. A. There is a positive linear association between GPA and study time. The less time a student studies, the higher their GPA is likely to be. OB. There is no linear association between GPA and study time. OC. There is a negative linear association between GPA and study time. The more time a student studies, the higher their GPA is likely to be. OD. There is a negative linear association between GPA and study time. The less time a student studies, the higher their GPA is likely to be. OE. There is a positive linear association between GPA and study time. The more time a student studies, the higher their GPA is likely to be.