For a data set of chest sizes (distance around chest in inches) and weights (pounds) of ten anesthetized bears that were measured, the linear correlation coefficient is r= 0.662. Use the table available below to find the critical values of r. Number of Pairs of Data n Critical Value of r 0.950 0.878 6. 0.811 7 0.754 0.707 0.666 8. 10 0.632 0.602 0.576 11 12
For a data set of chest sizes (distance around chest in inches) and weights (pounds) of ten anesthetized bears that were measured, the linear correlation coefficient is r= 0.662. Use the table available below to find the critical values of r. Number of Pairs of Data n Critical Value of r 0.950 0.878 6. 0.811 7 0.754 0.707 0.666 8. 10 0.632 0.602 0.576 11 12
MATLAB: An Introduction with Applications
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![For a data set of chest sizes (distance around chest in inches) and weights (pounds) of ten anesthetized bears that were measured, the linear correlation coefficient is \( r = 0.662 \). Use the table available below to find the critical values of \( r \).
| Number of Pairs of Data \( n \) | Critical Value of \( r \) |
|---------------------------------|---------------------------|
| 4 | 0.950 |
| 5 | 0.878 |
| 6 | 0.811 |
| 7 | 0.754 |
| 8 | 0.707 |
| 9 | 0.666 |
| 10 | 0.632 |
| 11 | 0.602 |
| 12 | 0.576 |
This table provides critical values for the correlation coefficient \( r \) based on the number of pairs of data \( n \). Compare your calculated \( r \) value with the critical value from the table to determine the significance of the correlation.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F9ea19fb6-99a1-4234-88b6-8603f0f28d30%2F6a4ba798-7489-4bea-8d12-d871ebe40393%2Fr8jzgz_processed.png&w=3840&q=75)
Transcribed Image Text:For a data set of chest sizes (distance around chest in inches) and weights (pounds) of ten anesthetized bears that were measured, the linear correlation coefficient is \( r = 0.662 \). Use the table available below to find the critical values of \( r \).
| Number of Pairs of Data \( n \) | Critical Value of \( r \) |
|---------------------------------|---------------------------|
| 4 | 0.950 |
| 5 | 0.878 |
| 6 | 0.811 |
| 7 | 0.754 |
| 8 | 0.707 |
| 9 | 0.666 |
| 10 | 0.632 |
| 11 | 0.602 |
| 12 | 0.576 |
This table provides critical values for the correlation coefficient \( r \) based on the number of pairs of data \( n \). Compare your calculated \( r \) value with the critical value from the table to determine the significance of the correlation.
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