Suppose that the score on a final exam depends upon attendance and an unobservable factor (such as student ability). The table below contains partial results for regressing the final exam score on attendance. The average and standard deviation of class attendance are given by 36.011, and 6.59613 hours, respectively. Regression statistics Multiple R R Square Adjusted R Square Standard Error 0.631 Observations 60 0.313 ANOVA SS df F MS 0.1056 0.004 P-value 0.002 Regression Residual Total Confidence Interval Intercept Attendance Coefficients 0.0123 0.882 Standard Error 0.0082 0.1724 t-stat 1.56 5.15 P-value 0.1245 0.003 70.025,60 = 2.0003 10.05,60 = 1.6706 to.025,58 = 2.0017 10.05,58 = 6715 For the many students that attend 40 hours of class, calculate the upper limit of a 95% confidence interval for their average score. Select one: a. 35.48 b. 16.90 c. 35.29 d. 28.79 e. 37.23