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------ answer below and, if necessary, fill in the answer box within your choice. (Round to three decimal places as needed.)

------ answer below and, if necessary, fill in the answer box within your choice. (Round to three decimal places as needed.)

MATLAB: An Introduction with Applications
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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Question 13 ignore this just keeping track
K Fifty-four wild bears were anesthetized, and then their weights and chest sizes were measured and listed in a data set. Results are shown in the accompanying display. Is there sufficient evidence to support the claim that there is a linear correlation between the weights of bears and their chest sizes? When measuring an anesthetized bear, is it easier to measure chest size than weight? If so, does it appear that a measured chest size can be used to predict the weight? Use a significance level of a= 0.05. Ho: PY H₁: P (Type integers.or decimals. Do not round.) Identify the correlation coefficient, r r= (Round to three decimal places as needed.) Identify the critical value(s). (Round to three decimal places as needed.) A. There is one critical value at r= Correlation Results Correlation coeff, r: 0.967543 +0.2680855 Critical r: P-value (two tailed): 0.000 4
Transcribed Image Text:K Fifty-four wild bears were anesthetized, and then their weights and chest sizes were measured and listed in a data set. Results are shown in the accompanying display. Is there sufficient evidence to support the claim that there is a linear correlation between the weights of bears and their chest sizes? When measuring an anesthetized bear, is it easier to measure chest size than weight? If so, does it appear that a measured chest size can be used to predict the weight? Use a significance level of a= 0.05. Ho: PY H₁: P (Type integers.or decimals. Do not round.) Identify the correlation coefficient, r r= (Round to three decimal places as needed.) Identify the critical value(s). (Round to three decimal places as needed.) A. There is one critical value at r= Correlation Results Correlation coeff, r: 0.967543 +0.2680855 Critical r: P-value (two tailed): 0.000 4
K Fifty-four wild bears were anesthetized, and then their weights and chest sizes were measured and listed in a data set. Results are shown in the accompanying display. Is there sufficient evidence to support the claim that there is a linear correlation between the weights of bears and their chest sizes? When measuring an anesthetized bear, is it easier to measure chest size than weight? If so, does it appear that a measured chest size can be used to predict the weight? Use a significance level of a=0.05. answer below and, if necessary, fill in the answer box within your choice. (Round to three decimal places as needed.) OA. No, because the absolute value of the test statistic OB. Yes, because the test statistic falls between the critical values. OC. Yes, because the absolute value of the test statistic exceeds the critical value. OD. No, because the test statistic falls between the critical values. OE. The answer cannot be determined from the given information. exceeds the critical value Correlation Results Correlation coeff, r: 0.967543 Critical r: +0.2680855 P-value (two tailed): 0.000
Transcribed Image Text:K Fifty-four wild bears were anesthetized, and then their weights and chest sizes were measured and listed in a data set. Results are shown in the accompanying display. Is there sufficient evidence to support the claim that there is a linear correlation between the weights of bears and their chest sizes? When measuring an anesthetized bear, is it easier to measure chest size than weight? If so, does it appear that a measured chest size can be used to predict the weight? Use a significance level of a=0.05. answer below and, if necessary, fill in the answer box within your choice. (Round to three decimal places as needed.) OA. No, because the absolute value of the test statistic OB. Yes, because the test statistic falls between the critical values. OC. Yes, because the absolute value of the test statistic exceeds the critical value. OD. No, because the test statistic falls between the critical values. OE. The answer cannot be determined from the given information. exceeds the critical value Correlation Results Correlation coeff, r: 0.967543 Critical r: +0.2680855 P-value (two tailed): 0.000
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