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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 64.0 |403.0 1567.01130.0 274.0 253.0 112.0 156.0 31.0 Justice Salary 30 44 90 58 46 62 25 26 19 J0- JUT 0- 0- 0- 0- 1600 800 Court Income 1600 800 Court Income 1600 800 1600 800 Court Income Court Income The linear correlation coefficient r is 0.8654 (Round to three decimal places as needed.) The test statistic t is (Round to three decimal places as needed.) The P-value is. (Round to three decimal places as needed.) Because the P-value is V than the significance level 0.05, there sufficient evidence to support the claim that there is a linear correlation between court incomes and justice salaries for a significance level of a = 0.05. Based on the results, does it appear that justices might profit by levying larger fines? A. It does appear that justices might profit by issuing smaller fines. B. It does not appear that justices might profit by levying larger fines. C. It does appear that justices might profit by levying larger fines. D. It appears that justices profit the same despite the amount of the fines.

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 64.0 |403.0 1567.01130.0 274.0 253.0 112.0 156.0 31.0 Justice Salary 30 44 90 58 46 62 25 26 19 J0- JUT 0- 0- 0- 0- 1600 800 Court Income 1600 800 Court Income 1600 800 1600 800 Court Income Court Income The linear correlation coefficient r is 0.8654 (Round to three decimal places as needed.) The test statistic t is (Round to three decimal places as needed.) The P-value is. (Round to three decimal places as needed.) Because the P-value is V than the significance level 0.05, there sufficient evidence to support the claim that there is a linear correlation between court incomes and justice salaries for a significance level of a = 0.05. Based on the results, does it appear that justices might profit by levying larger fines? A. It does appear that justices might profit by issuing smaller fines. B. It does not appear that justices might profit by levying larger fines. C. It does appear that justices might profit by levying larger fines. D. It appears that justices profit the same despite the amount of the fines.

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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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 64.0 |403.0 1567.01130.0 274.0 253.0 112.0 156.0 31.0 Justice Salary 30 44 90 58 46 62 25 26 19 J0- JUT 0- 0- 0- 0- 1600 800 Court Income 1600 800 Court Income 1600 800 1600 800 Court Income Court Income The linear correlation coefficient r is 0.8654 (Round to three decimal places as needed.) The test statistic t is (Round to three decimal places as needed.) The P-value is. (Round to three decimal places as needed.) Because the P-value is V than the significance level 0.05, there sufficient evidence to support the claim that there is a linear correlation between court incomes and justice salaries for a significance level of a = 0.05. Based on the results, does it appear that justices might profit by levying larger fines? A. It does appear that justices might profit by issuing smaller fines. B. It does not appear that justices might profit by levying larger fines. C. It does appear that justices might profit by levying larger fines. D. It appears that justices profit the same despite the amount of the fines.
Transcribed Image Text: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 64.0 |403.0 1567.01130.0 274.0 253.0 112.0 156.0 31.0 Justice Salary 30 44 90 58 46 62 25 26 19 J0- JUT 0- 0- 0- 0- 1600 800 Court Income 1600 800 Court Income 1600 800 1600 800 Court Income Court Income The linear correlation coefficient r is 0.8654 (Round to three decimal places as needed.) The test statistic t is (Round to three decimal places as needed.) The P-value is. (Round to three decimal places as needed.) Because the P-value is V than the significance level 0.05, there sufficient evidence to support the claim that there is a linear correlation between court incomes and justice salaries for a significance level of a = 0.05. Based on the results, does it appear that justices might profit by levying larger fines? A. It does appear that justices might profit by issuing smaller fines. B. It does not appear that justices might profit by levying larger fines. C. It does appear that justices might profit by levying larger fines. D. It appears that justices profit the same despite the amount of the fines.
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