Listed below are amounts of court income and salaries paid to the town justices. All amounts...

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Listed below are amounts of court income and salaries paid to the town justices. All amounts are in thousands of dollars. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value using a = 0.05. Is there sufficient evidence to conclude that there is a linear correlation between court incomes and justice salaries? Based on the results, does it appear that justices might profit by levying larger fines? Court Income 65.0 405.0 1566.0|1131.0 272.0 | 250.0 112.0 | 155.0 32.0 Justice Salary 29 46 90 57 48 What are the null and alternative hypotheses? A. Ho: p#0 H p=0 C. Ho p=0 H: p 0 61 24 25 17 OB. Ho: p=0 H: p>0 D. Ho p=0 H: p <0 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. Correlation Results Determine the null and alternative hypotheses. Ho P H P (Type integers or decimals. Do not round.) Correlation coeff, r: 0.963729 Critical r: 0.2680855 P-value (two tailed): 0.000 Listed below are amounts of court income and salaries paid to the town justices. All amounts are in thousands of dollars. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value using a = 0.05. Is there sufficient evidence to conclude that there is a linear correlation between court incomes and justice salaries? Based on the results, does it appear that justices might profit by levying larger fines? Court Income 65.0 405.0 1566.0|1131.0 272.0 | 250.0 112.0 | 155.0 32.0 Justice Salary 29 46 90 57 48 What are the null and alternative hypotheses? A. Ho: p#0 H p=0 C. Ho p=0 H: p 0 61 24 25 17 OB. Ho: p=0 H: p>0 D. Ho p=0 H: p <0 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. Correlation Results Determine the null and alternative hypotheses. Ho P H P (Type integers or decimals. Do not round.) Correlation coeff, r: 0.963729 Critical r: 0.2680855 P-value (two tailed): 0.000