17. Refer to the information given in Question 16. Some Minitab output from a regression predicting final exam score from midterm score is shown below. Regression Analysis: Final exam score versus Midterm score The regression equation is Final exam score = 2.62 + 1.03 Midterm score Predictor Cool SE Coof T Constant 2.619 2.334 1.12 0.277 Midterm score 1. 02811 0.03613 28.46 0.000 5 - 4.30358 R-8q - 97.8% R-Sq(adj) - 97.7% The intercept and slope of this regression line are: (a) slope 0.036 and intercept 2.334 (b) slope 2.334 and intercept 0.036 (c) slope 2.62 and intercept 1.03 (d) slope 1.03 and intercept 2.62 18. Refer to the output shown in Question 17. According to that output, if the midterm score increases by one mark, the final exam score is predicted to: (a) not change (b) increase by 2.62 marks (c) increase by 1.03 marks (d) decrease by 2.62 marks (e) decrease by 1.03 marks 19. Refer to the output shown in Question 17. The percent of variation in the final exam scores that can be explained by the regression analysis above is (a) 87.9% (b) 80.0% (c) 97.8% (d) 67.8& (e) 98.9% 20. Refer to the output shown in Question 17. The correlation between final exam scores and midterm scores is (a) 0.724 (b) 0.989 (c) 0.879 (d) 0.978