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
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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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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