High (x) 36 28 94 83 69 62 66 56 41 30 29 58 46 43 70 88 80 55 88 Low (y) 2011902280 0 22 22 74 1 55 45 45 71 41 33 21 18 45 36 33 45 73 76 38 71 High (x) 38 61 61 65 87 33 87 38 52 71 34 55 60 38 82 27 47 51 81 Low (y) 28 41 46 51 79 23 68 34 41 48 24 42 52 25 78 15 34 39 64
High (x) 36 28 94 83 69 62 66 56 41 30 29 58 46 43 70 88 80 55 88 Low (y) 2011902280 0 22 22 74 1 55 45 45 71 41 33 21 18 45 36 33 45 73 76 38 71 High (x) 38 61 61 65 87 33 87 38 52 71 34 55 60 38 82 27 47 51 81 Low (y) 28 41 46 51 79 23 68 34 41 48 24 42 52 25 78 15 34 39 64
Chapter1: Introducing The Economic Way Of Thinking
Section1.A: Applying Graphs To Economics
Problem 2SQP
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Question
Transcribed Image Text:High and Low data
High
(x)
36
28
94
83
69
62
66
56
41
30
29
58
46
43
70
88
80
55
88
Low
(y)
22
22
74
71
55
45
45
41
33
21
18
45
36
33
45
73
76
38
71
High
(x)
38
61
61
65
87
33
87
38
52
71
34
55
60
38
82
27
47
51
81
Low
(y)
28
41
46
51
79
23
68
34
41
48
24
42
52
25
78
15
34
39
64
n
Transcribed Image Text:The accompanying data gives the high and low temperatures in January for a random sample of 50 cities.
a. Decide whether use of the linear correlation coefficient as a descriptive measure for the data is
appropriate.
b. If appropriate, obtain the linear correlation coefficient.
c. If appropriate, interpret the value of r in terms of the linear relationship between the two variables.
Click the icon to view the High and Low data values.
a. The linear correlation coefficient as a descriptive measure for the data
appropriate because
b. Select the correct choice and, if necessary, fill in the answer box to complete your choice.
OA. The linear correlation coefficient is
(Round to three decimal places as needed.)
O B. The linear correlation coefficient as a descriptive measure for the data is not appropriate.
c. Choose the correct answer below.
O A. There appears to be a strong negative linear association between the two variables.
OB. There appears to be a weak negative linear association between the two variables.
O C. There appears to be a strong positive linear association between the two variables.
O D. There appears to be a weak positive linear association between the two variables.
O E. The linear correlation coefficient as a descriptive measure for the data is not appropriate.
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