The data below represent commute times (in minutes) and scores on a well-being survey. Complete parts (a) through (d) below. Commute Time (minutes), x 55 2020 2525 3535 5050 7272 105105 Well-Being Index Score, y 69.069.0 67.667.6 66.966.9 66.366.3 65.265.2 64.464.4 61.561.5 (a) Find the least-squares regression line treating the commute time, x, as the explanatory variable and the index score, y, as the response variable. ModifyingAbove y with caretyequals=negative 0.070−0.070xplus+(nothing )68.98368.983 (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 in the answer box to complete your choice. A. For every unit increase in commute time, the index score fallsfalls by nothing, on average. (Round to three decimal places as needed.) B. For an index score of zero, the commute time is predicted to be nothing minutes.