The data below represent commute times (in minutes) and scores on a well-being survey. Complete parts (a) through (d) be Commute Time (minutes), x 5 15 25 40 60 84 105 Well-Being Index Score, y 69.0 67.7 66.5 65.3 63.6 62.3 59.8 (a) Find the least-squares regression line treating the commute time, x, as the explanatory variable and the index score, y, as y = 69.015 x+ 0.067 (Round to three decimal places as needed.) (b) Interpret the slope and y-intercept, if appropriate. Interpret the slope. Select the correct choice below and, if necessary, fill O A. For every unit increase in index score, the commute time falls by , on average (Round to three decimal places as needed.) O B. For an index score of zero, the commute time is predicted to be minutes. (Round to three decimal places as needed.) O C. For every unit increase in commute time, the index score falls by . on average. (Round to three decimal places as needed. O D. For a commute time of zero minutes, the index score is predicted to be (Round to three decimal places as needed.) O E. It is not appropriate to interpret the slope Interpret the y-intercept. Select the correct choice below and, if necessary, fill in the answer box to complete your choice O A. For an index score of zero, the commute time is predicted to be minutes. Round to three decimal places as needed.) O B. For every unit increase in index score, the commute time falls by , on average (Round to three decimal places as needed.) C. For every unit increase in commute time, the index score falls by , on average Round to three decimal places as needed. O D. For arcommute time of zero minutes, the index score is predicted to be (Round to three decimal places as needed.)