The data below represent commute times (in minutes) and scores on a well-being survey. Complete parts (a) through (d) below.Commute Time (minutes), xWell-Being Index Score, y5 15 30 35 60 72 105 469.1 68.0 66.5 66.3 64.5 64.3 61.3(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.y=x+()(Round to three decimal places as needed.)(b) Interpret the slope and y-intercept, if appropriate.First interpret the slope. 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(Round to three decimal places as needed.)B. For a commute time of zero minutes, the index score is predicted to be(Round to three decimal places as needed.)C. For every unit increase in index score, the commute time falls by(Round to three decimal places as needed.)minutes.A. For an index score of zero, the commute time is predicted to be(Round to three decimal places as needed.)on average.D. For every unit increase in commute time, the index score falls by(Round to three decimal places as needed.)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., on average.minutes. The data below represent commute times (in minutes) and scores on a well-being survey. Complete parts (a) through (d) below.Commute Time (minutes), xWell-Being Index Score, y15 30 35 6068.0 66.5 66.3 64.572 10564.3 61.3569.1A. For an index score of zero, the commute time is predicted to be(Round to three decimal places as needed.)B. For every unit increase in index score, the commute time falls by(Round to three decimal places as needed.)C. For every unit increase in commute time, the index score falls by(Round to three decimal places as needed.)minutes."on average.on average.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 y-intercept because a commute time of zero minutes does not make sense and the value of zero minutes is much smaller than those observed in the dataset.(c) Predict the well-being index of a person whose commute time is 25 minutes.The predicted index score is(Round to one decimal place as needed.)(d) Suppose Barbara has a 20-minute commute and scores 66.7 on the survey. Is Barbara more "well-off" than the typical individual who has a 20-minute commute? Select the correct choice belowand fill in the answer box to complete your choice.(Round to one decimal place as needed.)A. No, Barbara is less well-off because the typical individual who has a 20-minute commute scoresB. Yes, Barbara is more well-off because the typical individual who has a 20-minute commute scores

Question

The data below represent commute times (in minutes) and scores on a well-being survey. Complete parts (a) through (d) below.Commute Time (minutes), xWell-Being Index Score, y5 15 30 35 60 72 105 469.1 68.0 66.5 66.3 64.5 64.3 61.3(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.y=x+()(Round to three decimal places as needed.)(b) Interpret the slope and y-intercept, if appropriate.First interpret the slope. 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(Round to three decimal places as needed.)B. For a commute time of zero minutes, the index score is predicted to be(Round to three decimal places as needed.)C. For every unit increase in index score, the commute time falls by(Round to three decimal places as needed.)minutes.A. For an index score of zero, the commute time is predicted to be(Round to three decimal places as needed.)on average.D. For every unit increase in commute time, the index score falls by(Round to three decimal places as needed.)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., on average.minutes. The data below represent commute times (in minutes) and scores on a well-being survey. Complete parts (a) through (d) below.Commute Time (minutes), xWell-Being Index Score, y15 30 35 6068.0 66.5 66.3 64.572 10564.3 61.3569.1A. For an index score of zero, the commute time is predicted to be(Round to three decimal places as needed.)B. For every unit increase in index score, the commute time falls by(Round to three decimal places as needed.)C. For every unit increase in commute time, the index score falls by(Round to three decimal places as needed.)minutes.&#34;on average.on average.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 y-intercept because a commute time of zero minutes does not make sense and the value of zero minutes is much smaller than those observed in the dataset.(c) Predict the well-being index of a person whose commute time is 25 minutes.The predicted index score is(Round to one decimal place as needed.)(d) Suppose Barbara has a 20-minute commute and scores 66.7 on the survey. Is Barbara more &#34;well-off&#34; than the typical individual who has a 20-minute commute? Select the correct choice belowand fill in the answer box to complete your choice.(Round to one decimal place as needed.)A. No, Barbara is less well-off because the typical individual who has a 20-minute commute scoresB. Yes, Barbara is more well-off because the typical individual who has a 20-minute commute scores

Accepted Answer

"Since you have posted a question with multiple sub-parts, we will solve the first three sub-parts…