X y 41.4 -345.4 24.2 -501.1 33.6 255.3 35.1 645.1 48.3 1159.1 37.5 411.5 40.3 -446.1 44.1 513 41.1 1355.9 41.6 -212.6 -31.3 56.5 46.4 -509.2 41.1 -13.8 30.8 103.7 153.4 6951.2 Use your graphing calculator to determine the correlation coefficient for this data set. Round your answer to the nearest thousandth.

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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The image contains a table of paired values (x, y), followed by an instruction to determine the correlation coefficient. The table data is as follows:

| x   | y        |
|-----|----------|
| 41.4 | 345.4   |
| 24.2 | 501.1   |
| 33.6 | 255.3   |
| 35.1 | 645.1   |
| 48.3 | 1159.1  |
| 37.5 | 411.5   |
| 40.3 | 446.1   |
| 44.1 | 513     |
| 41.1 | 1355.9  |
| 41.6 | -212.6  |
| 56.5 | -31.3   |
| 46.4 | 509.2   |
| 41.1 | -13.8   |
| 30.8 | 103.7   |
| 153.4| 6951.2  |

The accompanying instruction reads:
"Use your graphing calculator to determine the correlation coefficient for this data set. Round your answer to the nearest thousandth."

A text box labeled "r = " is provided for input.

No graphs or diagrams are included here, but the table lists numerical values that will be used to calculate the correlation coefficient, an indicator of the linear relationship between x and y.
Transcribed Image Text:The image contains a table of paired values (x, y), followed by an instruction to determine the correlation coefficient. The table data is as follows: | x | y | |-----|----------| | 41.4 | 345.4 | | 24.2 | 501.1 | | 33.6 | 255.3 | | 35.1 | 645.1 | | 48.3 | 1159.1 | | 37.5 | 411.5 | | 40.3 | 446.1 | | 44.1 | 513 | | 41.1 | 1355.9 | | 41.6 | -212.6 | | 56.5 | -31.3 | | 46.4 | 509.2 | | 41.1 | -13.8 | | 30.8 | 103.7 | | 153.4| 6951.2 | The accompanying instruction reads: "Use your graphing calculator to determine the correlation coefficient for this data set. Round your answer to the nearest thousandth." A text box labeled "r = " is provided for input. No graphs or diagrams are included here, but the table lists numerical values that will be used to calculate the correlation coefficient, an indicator of the linear relationship between x and y.
Expert Solution
Step 1

Correlation Coefficient:

X Y X - X (X - X)2 Y-Y (Y-Y)2 (X-X)(Y-Y)
41.4 -345.4 -6.293 39.60185 -967.753 936545.869 6090.07
24.2 -501.1 -23.493 551.921 -1123.45 1262146.643 26393.28
33.6 255.3 -14.093 198.6126 -367.053 134727.9048 5172.878
35.1 645.1 -12.593 158.5836 22.747 517.426009 -286.453
48.3 1159.1 0.607 0.368449 536.747 288097.342 325.8054
37.5 411.5 -10.193 103.8972 -210.853 44458.98761 2149.225
40.3 -446.1 -7.393 54.65645 -1068.45 1141591.813 7899.073
44.1 513 -3.593 12.90965 -109.353 11958.07861 392.9053
41.1 1355.9 -6.593 43.46765 733.547 538091.2012 -4836.28
41.6 -212.6 -6.093 37.12465 -834.953 697146.5122 5087.369
56.5 -31.3 8.807 77.56325 -653.653 427262.2444 -5756.72
46.4 -509.2 -1.293 1.671849 -1131.55 1280412.192 1463.098
41.1 -13.8 -6.593 43.46765 -636.153 404690.6394 4194.157
30.8 103.7 -16.893 285.3734 -518.653 269000.9344 8761.605
153.4 6951.2 105.707 11173.97 6328.847 40054304.35 669003.4
X =715.4 Y=9335.3   (X-X)2= 12783.1893   (Y-Y)2= 47490952.14 (X-X)(Y-Y) = 726053.4453

X = 47.693Y = 622.353

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