The data below represent commute times (in minutes) and scores on a well-being survey. Commute Time (minutes), x 5 15 30 40 50 84 105Well-Being Index Score, y 68.9 67.6 65.8 64.9 64.0 61.5 58.8 Treating the commute time, x, as the explanatory variable and the index score, y, as the response variable, the least-squares regression line is y = −0.096x + 68.992.
The data below represent commute times (in minutes) and scores on a well-being survey. Commute Time (minutes), x 5 15 30 40 50 84 105Well-Being Index Score, y 68.9 67.6 65.8 64.9 64.0 61.5 58.8 Treating the commute time, x, as the explanatory variable and the index score, y, as the response variable, the least-squares regression line is y = −0.096x + 68.992.
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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Question
The data below represent commute times (in minutes) and scores on a well-being survey.
Commute Time (minutes), x
5
15
30
40
50
84
105
Well-Being Index Score, y
68.9
67.6
65.8
64.9
64.0
61.5
58.8
Treating the commute time, x, as the explanatory variable and the index score, y, as the response variable, the least-squares regression line is
y
=
−0.096x
+
68.992.
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