for a data set of chest sizes (distance around chest in inches) and weights (pounds) of seven anesthetized…

for a data set of chest sizes (distance around chest in inches) and weights (pounds) of seven anesthetized bears that were measured, the linear correlation coefficient is r = 0.208. 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 - 0.754,0.754. (type integers or decimals. do not round. use a comma to separate answers as needed.) since the correlation coefficient r is , there sufficient evidence to support the claim of a linear correlation.

for a data set of chest sizes (distance around chest in inches) and weights (pounds) of seven anesthetized bears that were measured, the linear correlation coefficient is r = 0.208. 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 - 0.754,0.754. (type integers or decimals. do not round. use a comma to separate answers as needed.) since the correlation coefficient r is , there sufficient evidence to support the claim of a linear correlation.

Answer

Explanation:

Step1: Recall correlation - decision rule

If (|r|\lt) critical - value, there is not sufficient evidence for linear correlation. If (|r|\geq) critical - value, there is sufficient evidence for linear correlation.

Step2: Calculate the absolute value of (r)

Given (r = 0.208), then (|r|=|0.208| = 0.208).

Step3: Compare (|r|) with the critical value

The critical values are (- 0.754) and (0.754), so the critical value for comparison is (0.754). Since (0.208\lt0.754).

Answer:

Since the correlation coefficient (r) is between (- 0.754) and (0.754), there is not sufficient evidence to support the claim of a linear correlation.