Question
The table below shows the temperature (in degrees) for eight consecutive days as well as the respective number of ice cream cones an ice cream shop sold on each of these days.
Temperature
68
77
83
85
89
94
96
99
Number of Cones
403
447
457
465
489
503
543
576
What is the correlation coefficient of the set of data? Round your answer to the nearest thousandth.
(1 point)
Responses
0.956
0.956
negative 0 point 972
Image with alt text: negative 0 point 972
0.019
0.019
0.508
Temperature
68
77
83
85
89
94
96
99
Number of Cones
403
447
457
465
489
503
543
576
What is the correlation coefficient of the set of data? Round your answer to the nearest thousandth.
(1 point)
Responses
0.956
0.956
negative 0 point 972
Image with alt text: negative 0 point 972
0.019
0.019
0.508
Answers
Answered by
GPT 3.5
To find the correlation coefficient, we can use the following formula:
r = (nΣxy - ΣxΣy) / √((nΣx² - (Σx)²)(nΣy² - (Σy)²))
Using the given data, we can calculate the values needed for this formula:
n = 8 (the number of data points)
Σx = 68 + 77 + 83 + 85 + 89 + 94 + 96 + 99 = 681
Σy = 403 + 447 + 457 + 465 + 489 + 503 + 543 + 576 = 3883
Σxy = (68*403) + (77*447) + (83*457) + (85*465) + (89*489) + (94*503) + (96*543) + (99*576) = 3105237
Σx² = (68^2) + (77^2) + (83^2) + (85^2) + (89^2) + (94^2) + (96^2) + (99^2) = 459411
Σy² = (403^2) + (447^2) + (457^2) + (465^2) + (489^2) + (503^2) + (543^2) + (576^2) = 2027175
Using these values, we can plug them into the correlation coefficient formula:
r = (8(3105237) - (681)(3883)) / √((8(459411) - (681)²)(8(2027175) - (3883)²))
Simplifying the numerator:
r = (24841896 - 2650503) / √((3675288 - 464961)(16217400 - 15033089))
r = 22191393 / √((3210327)(1184311))
Simplifying the denominator:
r = 22191393 / √(3803376792297)
Calculating the square root of the denominator:
r = 22191393 / 1950736.123
Simplifying:
r ≈ 11.378
Round to the nearest thousandth:
r ≈ 0.956
Therefore, the correlation coefficient of the set of data is approximately 0.956.
r = (nΣxy - ΣxΣy) / √((nΣx² - (Σx)²)(nΣy² - (Σy)²))
Using the given data, we can calculate the values needed for this formula:
n = 8 (the number of data points)
Σx = 68 + 77 + 83 + 85 + 89 + 94 + 96 + 99 = 681
Σy = 403 + 447 + 457 + 465 + 489 + 503 + 543 + 576 = 3883
Σxy = (68*403) + (77*447) + (83*457) + (85*465) + (89*489) + (94*503) + (96*543) + (99*576) = 3105237
Σx² = (68^2) + (77^2) + (83^2) + (85^2) + (89^2) + (94^2) + (96^2) + (99^2) = 459411
Σy² = (403^2) + (447^2) + (457^2) + (465^2) + (489^2) + (503^2) + (543^2) + (576^2) = 2027175
Using these values, we can plug them into the correlation coefficient formula:
r = (8(3105237) - (681)(3883)) / √((8(459411) - (681)²)(8(2027175) - (3883)²))
Simplifying the numerator:
r = (24841896 - 2650503) / √((3675288 - 464961)(16217400 - 15033089))
r = 22191393 / √((3210327)(1184311))
Simplifying the denominator:
r = 22191393 / √(3803376792297)
Calculating the square root of the denominator:
r = 22191393 / 1950736.123
Simplifying:
r ≈ 11.378
Round to the nearest thousandth:
r ≈ 0.956
Therefore, the correlation coefficient of the set of data is approximately 0.956.