Question the following data represent the commute time (in minutes) x and a score on a well-being survey y. the equation of the least-squares regression line is y-0.0491x 69.1858 and the standard error of the estimate is 0.3416. complete parts (a) through (e) below x10 20 30 40 55 77 110 69.0 67.9 67.7 66.8 66.8 65.7 63.6 (a) predict the mean wel-being index composite score of all individuals whose commute time is 45 minutes. ys li (round to two decimal places as needed.) (b) construct a 90% confidence interval for the mean well-being index composite score of all individuals whose commute time is 45 minutes lower bound upper bound (c) predict the well-being index composite score of jane, whose commute time is 45 minutes. y(round to two decimal places as needed.) (d) construct a 90% prediction interval for the well-being index composite score of jane, whose commute time is 45 minutes. lower bound upper bound (c) what is the difference between the predictions made in parts (a) and (c)? oa. the prediction made in part (a) is an estimate of the mean well-being score for all individuals whose commute is 45 minutes, and the prediction made in part (c) is an estimate of the well-being score for the individual, jane, whose (round to two decimal places as needed.) - (round to two decimal places as needed.) (round to two decimal places as needed,) (round to two decimal places as needed) commute is 45 minutes. b. the prediction made in part (a) is an estimate of the well-being score for the individual, jane, whose commute is 45 minutes, and the prediction made in part (c) is an estimate of the mean well-being score for al individuals whose commute is 45 minutes. o c. the prediction made in part (a) is the average well-being score for all individuals whose commute is 66.98 minutes, and the prediction made in part (c) is an estimate of the well-being score for the individual, jane, whose commute is 66.98 minutes