10. Consider the output below. Is Test 1 a significant predictor of Course %? a. Yes b. No 11. What proportion of the variance in Course % is attributable to the regression model? a. .568 b. .322 c. 960.521 Model Summary d. 22.822 Model 568 R Square 322 Adjusted R Square Std. Error of the Estimate 308 6.48743 a. Predictors: (Constant), Test 1 (%) ANOVA Sum of Model Squares Mean Square F Sig 1 Regression 960.521 1 960.521 22.822 .000 Residual 2020.162 48 42.087 Total 2980.683 49 a. Dependent Variable: Course % b. Predictors: (Constant), Test 1 (%) Model Coefficients Unstandardized Coefficients B Standardized Coeficients (Constant) Test 1 (%) 55.423 Std. Error 6.331 Beta 1 Sig 8.755 000 370 .077 568 4.777 .000 a. Dependent Variable: Course % 12. What is the regression equation for this analysis? (2 points) 13. What would be the predicted course grade for a student who scored an 75 on Test 1? (Do not round) (2 points) 14. Malvina needs a final grade of A or higher in this course to qualify for a summer math internship. An A starts at 91%. What score does she need on Test 1 to predict that she would get at least 91% for Course %? (Round to 2 decimal places.) (2 points)