SUMMARY OUTPUT Regression Statistics Multiple R 0.834298 R Square 0.696053 Adjusted R Square 0.645395 Standard Error 3.924283 Observations 8. ANOVA df SS MS Regression 211.6 F 211.6 13.74026 0.010007609 Significance F Residual 92.4 15,4 Total 304 Intercept Hours studied Coefficients Standard Error 64.3 4.6 t Stat P-value 5.75413 11.17458 0.000031 1.24097 3.70679 0.010008 A professor of statistics is interested in studying the relationship between the number of hours graduate students spent studying for his comprehensive final exam and the exam score. The results of the regression analysis of hours studied on exam scores are presented below For the above regression output, Report the following results. a) intercept and interpret it b) slope and interpret it c) coefficient of determination and interpret it. d) Check the significance of the slope coefficient e) what is the predicted value of grades when a student study 5 hours?