MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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13

Critical values
Critical Values for Correlation Coefficient
3
0.997
4
0.950
0.878
6
0.811
7 0.754
0.707
9
0.666
10 0.632
11 0.602
12 0.576
13 0.553
14 0.532
15 0.514
16 0.497
17 0.482
18 0.468
19 0.456
20 0.444
21 0.433
22 0.423
23 0.413
24 0.404
25 0.396
26 0.388
27 0.381
28 0.374
29 0.367
30 0.361
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Transcribed Image Text:Critical values Critical Values for Correlation Coefficient 3 0.997 4 0.950 0.878 6 0.811 7 0.754 0.707 9 0.666 10 0.632 11 0.602 12 0.576 13 0.553 14 0.532 15 0.514 16 0.497 17 0.482 18 0.468 19 0.456 20 0.444 21 0.433 22 0.423 23 0.413 24 0.404 25 0.396 26 0.388 27 0.381 28 0.374 29 0.367 30 0.361
The data in the table to the right are based on the results of a survey comparing the commute time of adults to their score
Commute Time
Well-Being
on a well-being test. Complete parts (a) through (d) below.
(in minutes)
Score
6.
69.4
Click the icon to view the table of critical values of the correlation coefficient.
14
68.6
23
67.3
36
67.2
46
66.9
73
66.6
97
63.5
.....
(a) Which variable is likely the explanatory variable and which is the response variable?
A. The explanatory variable is commute time and the response variable is the well-being score because well-being score affects the commute time score.
B. The explanatory variable is the well-being score and the response variable is commute time because commute time affects the well-being score.
C. The explanatory variable is the well-being score and the response variable is commute time because well-being score affects the commute time.
D. The explanatory variable is commute time and the response variable is the well-being score because commute time affects the well-being score.
(b) Draw a scatter diagram of the data. Which of the following represents the data?
A.
OB.
С.
O D.
70-
70-
110-
110-
60-
60-
0-
110
110
Time (min)
60
Time (min)
70
60
70
Score
Score
(c) Determine the linear correlation coefficient between commute time and well-being score.
(Round to three decimal places as needed.)
Time (min)
Score
Score
Time (min)
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Transcribed Image Text:The data in the table to the right are based on the results of a survey comparing the commute time of adults to their score Commute Time Well-Being on a well-being test. Complete parts (a) through (d) below. (in minutes) Score 6. 69.4 Click the icon to view the table of critical values of the correlation coefficient. 14 68.6 23 67.3 36 67.2 46 66.9 73 66.6 97 63.5 ..... (a) Which variable is likely the explanatory variable and which is the response variable? A. The explanatory variable is commute time and the response variable is the well-being score because well-being score affects the commute time score. B. The explanatory variable is the well-being score and the response variable is commute time because commute time affects the well-being score. C. The explanatory variable is the well-being score and the response variable is commute time because well-being score affects the commute time. D. The explanatory variable is commute time and the response variable is the well-being score because commute time affects the well-being score. (b) Draw a scatter diagram of the data. Which of the following represents the data? A. OB. С. O D. 70- 70- 110- 110- 60- 60- 0- 110 110 Time (min) 60 Time (min) 70 60 70 Score Score (c) Determine the linear correlation coefficient between commute time and well-being score. (Round to three decimal places as needed.) Time (min) Score Score Time (min)
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