The following data represent the commute time (in minutes) x and a score on a well-being survey y. The equation of the least-squaresregression line is y = -0.0480x + 69.1570 and the standard error of the estimate is 0.3036. Complete parts (a) through (e) below.Xy40 5577 110 D10 20 3069.0 68.1 67.5 67.2 66.2 65.9 63.8(a) Predict the mean well-being index composite score of all individuals whose commute time is 35 minutes.y=(Round to two decimal places as needed.)(b) Construct a 90% confidence interval for the mean well-being index composite score of all individuals whose commute time is 35 minutes.Lower BoundUpper Bound...(Round to two decimal places as needed.)(Round to two decimal places as needed.)(c) Predict the well-being index composite score of Jane, whose commute time is 35 minutes.y=(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 35 minutes.Lower Bound(Round to two decimal places as needed.)(Round to two decimal places as needed.)Upper Bound(e) What is the difference between the predictions made in parts (a) and (c)?=OA. The prediction made in part (a) is an estimate of the well-being score for the individual, Jane, whose commute is 35 minutes, aprediction made in part (c) is an estimate of the mean well-being score for all individuals whose commute is 35 minutes.OB. The prediction made in part (a) is an estimate of the mean well-being score for all individuals whose commute is 35 minutes, andprediction made in part (c) is an estimate of the well-being score for the individual, Jane, whose commute is 35 minutes.OC. The prediction made in part (a) is the average well-being score for all individuals whose commute is 67.48 minutes, and theprediction made in part (c) is an estimate of the well-being score for the individual, Jane, whose commute is 67.48 minutes.

Answered: The following data represent the…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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