The data below represent commute times (in minutes) and scores on a well-being survey. Commute Time (minutes), x 5 15 30 40 50 72 105 0 Well-Being Index Score, y 69.2 68.4 67.5 67.1 66.8 66.6 64.7 Treating the commute time, x, as the explanatory variable and the index score, y, as the response variable, the least-squares regression line is y = - 0.041x + 69.023 Complete parts (a) through (d) below. (b) Interpret the y-intercept. Select the correct choice below and, if necessary, fill in the answer box to complete your choice. O A. For every unit increase in commute time, the index score falls by on average. (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.) O C. For a commute time of zero minutes, the index score is predicted to be (Round to three decimal places as needed.) O D. For an index score of zero, the commute time is predicted to be minutes. (Round to three decimal places as needed.) O E. For every unit increase in index score, the commute time rises by on average