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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 P-value (two tailed): 0.000 appear that a measured chest size can be used to predict the weight? Use a Critical r: significance level of a = 0.05. Correlation Results Correlation coeff, r: 0.964493 +0.2680855

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 P-value (two tailed): 0.000 appear that a measured chest size can be used to predict the weight? Use a Critical r: significance level of a = 0.05. Correlation Results Correlation coeff, r: 0.964493 +0.2680855

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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Critical r: 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 P-value (two tailed): 0.000 appear that a measured chest size can be used to predict the weight? Use a significance level of a = 0.05. Determine the null and alternative hypotheses. Ho: p = 0 H₁:p # 0 (Type integers or decimals. Do not round.) Identify the correlation coefficient, r. r= 0.964 (Round to three decimal places as needed.) Identify the critical value(s). (Round to three decimal places as needed.) OA. There is one critical value at r= OB. There are two critical values at r = ± n example Get more help. .... Correlation Results Correlation coeff, r: 0.964493 ±0.2680855 Clear all Check answer
Transcribed Image Text:Critical r: 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 P-value (two tailed): 0.000 appear that a measured chest size can be used to predict the weight? Use a significance level of a = 0.05. Determine the null and alternative hypotheses. Ho: p = 0 H₁:p # 0 (Type integers or decimals. Do not round.) Identify the correlation coefficient, r. r= 0.964 (Round to three decimal places as needed.) Identify the critical value(s). (Round to three decimal places as needed.) OA. There is one critical value at r= OB. There are two critical values at r = ± n example Get more help. .... Correlation Results Correlation coeff, r: 0.964493 ±0.2680855 Clear all Check answer
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