IU student researchers recently completed a study to determine which components of high school or standardized tests predict success in specific first year courses. One hypothesis tested was the ability of SAT math scores to predict a cumulative first year science course GPA. Scores were collected from a sample of 223 students. The regression analysis is reported below. Answer the following questions regarding that analysis. Model Summary Adjusted R Std. Error of Model R Square Square the Estimate .252a .063 .059 75600 a. Predictors: (Constant), SATmath ANOVA Sum of Model Squares df Mean Square Sig. Regression 8.583 8.583 15.017 <.001b residual total a. dependent variable: science_gpa . predictors: satmath which of the following statements correctly describes association sat math and science gpa select bes how well predicts gpa. v f obtained reported in anova table is significant at p .001 r model summary nonsignificant> .05 rall analysis? The R reported in the model summary is significant at p .05