The data below represent commute times​ (in minutes) and scores on a​ well-being survey.   Commute Time​ (minutes), x   5 15 25 35 60 84 105   ​Well-Being Index​ Score, y   69.2 68.4 67.7 67.3 66.3 66.0 64.6     ​(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. ​(b) Interpret the slope and​ y-intercept, if appropriate. ​(c) Predict the​ well-being index of a person whose commute time is 30 minutes.

Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter7: Distance And Approximation
Section7.3: Least Squares Approximation
Problem 31EQ
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The data below represent commute times​ (in minutes) and scores on a​ well-being survey.
 
Commute Time​ (minutes), x
 
5
15
25
35
60
84
105
 
​Well-Being Index​ Score, y
 
69.2
68.4
67.7
67.3
66.3
66.0
64.6
 
 
​(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.
​(b) Interpret the slope and​ y-intercept, if appropriate.
​(c) Predict the​ well-being index of a person whose commute time is
30
minutes.
​(d) Suppose Barbara has a
20​-minute
commute and scores
67.4
on the survey. Is Barbara more​ "well-off" than the typical individual who has a
20​-minute
​commute?

 

Expert Solution
Step 1
x y xy x2  
5 69.2 346 25  
15 68.4 1026 225  
25 67.7 1692.5 625  
35 67.3 2355.5 1225  
60 66.3 3978 3600  
84 66 5544 7056  
105 64.6 6783 11025  
329 469.5 21725 23781 Total

n = 7

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