Answer Happy

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 =-00486x + 69 4850 and the standard error of the estimate is 05325 Complete parts (a) through (e) below 15 25 35 45 60 82 115 69 0 68 6 672 672 661 663 63.7 x у (a) Predict the mean well-being index composite score of all individuals whose commute time is 40 minutes 9=Round to two decimal places as needed) (b) Construct a 90% confidence interval for the mean well-being indix composite score of all individuals whose commute time is 40 minutes Lower Bound (Round to two decimal places as needed) Upper Bound (Round to two decimal places as needed) (c) Predict the well-being index composite score of Jane, whose commute time is 10 minutes 9- (Round to two decimal places as needed) (d) Construct a 90% prediction interval for the wellbeing index composite score of Jane, whose commute time is 40 minutes Lower Bound (Round to two decimal places as needed Upper Bound (Round to two decimal places as needed)

UE AT UE AT1 (e) What is the difference between the predictions made in parts (a) and (c)? O A The prediction made in part(m) is an estimate of the mean well-being score for all individuals whose commute is 40 minutes, and the prediction made in part (c) is an estimate of the well-being score for the individual, Jane, whose commute is 40 minutes OB. The prediction made in part (a) is an estimate of the well-being score for the individual, Jane, whose conmute is 40 minutes, and the prediction made in part (C) is an estimate of the mean well being score for all individuals whose corlimute is 40 minutes OG The prediction made in part() is the average well-being score for all individuals whose commute is 67.55 minutes, and the prediction made in part() is an estimate of the well-being score for the individual, Jane, whose commute is 6755 minutes sig