For a data set of chest sizes (distance around chest in inches) and weights (pounds) of six anesthetized bears that were measured, the linear comelation coefficient is r=0.832 Use the t available below to find the critical values of r. Based on a comparison of the linear correlation coefficient r and the critical values, what do you conclude about a linear comelation? Click the icon to view the table of critical values of r The critical values are (Type integers or decimals. Do not round. Use a comma to separate answers as needed)
For a data set of chest sizes (distance around chest in inches) and weights (pounds) of six anesthetized bears that were measured, the linear comelation coefficient is r=0.832 Use the t available below to find the critical values of r. Based on a comparison of the linear correlation coefficient r and the critical values, what do you conclude about a linear comelation? Click the icon to view the table of critical values of r The critical values are (Type integers or decimals. Do not round. Use a comma to separate answers as needed)
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 six anesthetized bears that were measured, the linear correlation coefficient is r=0.832 Use the table
available below to find the critical values of r. Based on a comparison of the linear correlation coefficient r and the critical values, what do you conclude about a linear correlation?
Click the icon to view the table of critical values of r
The critical values are
(Type integers or decimals. Do not round. Use a comma to separate answers as needed.)
KLIM
Expert Solution

Step 1: Determine the given variables.
The question is about testing of population correlation.
Given :
No. of anesthetized bears ( n ) = 6
Value of linear correlation coefficient ( r ) = 0.832
To find :
1 ) Critical value of r
2 ) Conclusion about linear correlation.
Step by step
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