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 y = -0.0516x+69.4055 and the standard error of the estimate is 0.3319. Complete parts (a) through (e) below. 10 20 68.6 67.7 30 40 55 77 110 y 69.0 66.8 66.7 65.8 63.6 wworre Ter Lower Bound = 66.83 (Round to two decimal places as needed.) Upper Bound = 67.34 (Round to two decimal places as needed.) (c) Predict the well-being index composite score of Jane, whose commute time is 45 minutes. y = 67.08 (Round to two decimal places as needed.) (d) Construct a 90% prediction interval for the well-being index composite score of Jane, whose commute time is 45 minutes. Lower Bound (Round to two decimal places as needed.) Upper Bound (Round to two decimal places as needed.)

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