What is the slope of the least-squares regression line for these data? Carry your intermediate computations to at least four decimal places and round y answer to at least two decimal places. (If necessary, consult a list of formulas.)

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An elecu ility wishes to examine the relationship between temperature and electricity use in its service region during the summer months. The bivariate data
below give the maximum temperature (denoted by x, in degrees Fahrenheit) and the electricity use (denoted by y, in thousands of kilowatt hours) for a random
sample of sixteen summer days. The data are shown in the Figure 1 scatter plot. Also given is the product of the temperature and the electricity use for each of
the sixteen days. (These products, written in the column labelled "xy", may aid in calculations.)
Electricity
Temperature,
use, y
(in thousands
of kilowatt
xy
(in degrees
Fahrenheit)
hours)
97.0
300.7
29,167.9
400-
89.2
304.2
27,134.64
375+
99.4
385.0
38,269
75.9
284.1
21,563.19
350-
71.4
274.3
19,585.02
325-
77.8
283.3
22,040.74
300-
83.9
263.4
22,099.26
275-
73.5
231.1
16,985.85
250-
81.0
325.8
26,389.8
225-
82.2
296.3
24,355.86
72.4
292.0
21.140.8.
Electricity use
(In thousands of kilowatt hours)
Transcribed Image Text:An elecu ility wishes to examine the relationship between temperature and electricity use in its service region during the summer months. The bivariate data below give the maximum temperature (denoted by x, in degrees Fahrenheit) and the electricity use (denoted by y, in thousands of kilowatt hours) for a random sample of sixteen summer days. The data are shown in the Figure 1 scatter plot. Also given is the product of the temperature and the electricity use for each of the sixteen days. (These products, written in the column labelled "xy", may aid in calculations.) Electricity Temperature, use, y (in thousands of kilowatt xy (in degrees Fahrenheit) hours) 97.0 300.7 29,167.9 400- 89.2 304.2 27,134.64 375+ 99.4 385.0 38,269 75.9 284.1 21,563.19 350- 71.4 274.3 19,585.02 325- 77.8 283.3 22,040.74 300- 83.9 263.4 22,099.26 275- 73.5 231.1 16,985.85 250- 81.0 325.8 26,389.8 225- 82.2 296.3 24,355.86 72.4 292.0 21.140.8. Electricity use (In thousands of kilowatt hours)
300-
83.9
263.4
22,099.26
275
73.5
231.1
16,985.85
250
81.0
325.8
26,389.8
82.2
296.3
24,355.86
225-
72.4
292.0
21,140.8
70
75
80
85
90
95
100
94.0
357.0
33,558
Temperature
(in degrees Fahrenheit)
84.7
355.2
30,085.44
93.0
356.8
33,182.4
Figure 1
97.1
337.1
32,732.41
90.0
316.0
28,440
Send data to calculator
)(Send data to Excel
What is the slope of the least-squares regression line for these data? Carry your intermediate computations to at least four decimal places and round you
answer to at least two decimal places. (If necessary, consult a list of formulas.)
Electriclt
(In thousands of
Transcribed Image Text:300- 83.9 263.4 22,099.26 275 73.5 231.1 16,985.85 250 81.0 325.8 26,389.8 82.2 296.3 24,355.86 225- 72.4 292.0 21,140.8 70 75 80 85 90 95 100 94.0 357.0 33,558 Temperature (in degrees Fahrenheit) 84.7 355.2 30,085.44 93.0 356.8 33,182.4 Figure 1 97.1 337.1 32,732.41 90.0 316.0 28,440 Send data to calculator )(Send data to Excel What is the slope of the least-squares regression line for these data? Carry your intermediate computations to at least four decimal places and round you answer to at least two decimal places. (If necessary, consult a list of formulas.) Electriclt (In thousands of
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