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rv El variance in rst-year college grades. GPA was second at 15 7 percent, and SAT] was last at 13.4 percent." (a) If the data From this study were used to t a least squares line with y : rslryear college GPA and x : high school GPA, what would the value orr2 have been? A: (b) The article stated that SAT [I was the best predictor otrstsyear college grades. Do you think that predictions based on a leaslrsquareE line with y : linitryaar college GPA and x : SAT [I score would he very accumle? Explain why or why not. 0 Yes The r2 value for y = rst year college GPA and x = SAT [I score is large which suggests an approximate linear relationship between the two variables may be present. O No. The r2 value for y = rst year college GPA and x = SAT [I score is large which does not suggest an approximate linear relationship between the two variables may be present 0 Yes The r2 value for y = rst year college GPA and x = SAT [I score is small which suggests an approximate linear relationship between the two variables may be present. 0 Yes The r2 value for y = rst year college GPA and x = SAT [I score is positive which suggests an approximate linear relationship between the two variables may be present. O No. The r2 value for y = rst year college GPA and x : SAT [I score is small which does not suggest an approximate linear relationship between the two variables may be present