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.)
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.)
MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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![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.
77
65.8
110
63.6
30
40
55
10
69.0
20
y
68.6
67.7
66.8
66.7
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.)
ts
(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.)
rary
Entor vour answer in the edit fields and then click Check Answer.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F85ca80db-c3c6-42a2-bfa0-51037c0225a3%2Fc4e312a1-c381-4e33-8cb9-57c4c678cbd9%2Fzh9x38n_processed.jpeg&w=3840&q=75)
Transcribed Image Text: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.
77
65.8
110
63.6
30
40
55
10
69.0
20
y
68.6
67.7
66.8
66.7
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.)
ts
(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.)
rary
Entor vour answer in the edit fields and then click Check Answer.
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