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The data below shows the annual salaries (in millions) and the number of viewers (in millions) of eight television actors and actresses. Construct a scatterplot, find the value of th 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 the two variables? Salary (x) Viewers (y) 10 4.1 12 5.6 35 1.9 3 4.5 98 15 6 17 10.2 9.8 13.7 of O 20 40 60 80 100 0 f 0 20 40 60 80 100 O 20 40 60 80 100 fof O 20 40 60 80 100 The linear correlation coefficient r is (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 V sufficient evidence to support the claim that there is a linear correlation between annual salaries (i millions) and the number of viewers (in millions) for a significance level of a =0.05. Can the number of viewers be used to get a good sense of annual salaries? OA. Knowing the number of viewers is not helpful in getting a good sense for the annual salaries because there does not appear to be a linear correlation between the two variables. O B. Knowing the number of viewers is helpful in getting a good sense for the annual salaries, because there does not appear to be a linear correlation between the two variable O C. Knowing the number of viewers is not helpful in getting a good sense for the annual salaries because there appears to be a linear correlation between the two variables. O D. Knowing the number of viewers is helpful in getting a good sense for the annual salaries because there appears to be a linear correlation between the two variables.

The data below shows the annual salaries (in millions) and the number of viewers (in millions) of eight television actors and actresses. Construct a scatterplot, find the value of th 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 the two variables? Salary (x) Viewers (y) 10 4.1 12 5.6 35 1.9 3 4.5 98 15 6 17 10.2 9.8 13.7 of O 20 40 60 80 100 0 f 0 20 40 60 80 100 O 20 40 60 80 100 fof O 20 40 60 80 100 The linear correlation coefficient r is (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 V sufficient evidence to support the claim that there is a linear correlation between annual salaries (i millions) and the number of viewers (in millions) for a significance level of a =0.05. Can the number of viewers be used to get a good sense of annual salaries? OA. Knowing the number of viewers is not helpful in getting a good sense for the annual salaries because there does not appear to be a linear correlation between the two variables. O B. Knowing the number of viewers is helpful in getting a good sense for the annual salaries, because there does not appear to be a linear correlation between the two variable O C. Knowing the number of viewers is not helpful in getting a good sense for the annual salaries because there appears to be a linear correlation between the two variables. O D. Knowing the number of viewers is helpful in getting a good sense for the annual salaries because there appears to be a linear correlation between the two variables.

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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The data below shows the annual salaries (in millions) and the number of viewers (in millions) of eight television actors and actresses. 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 the two variables? Salary (x) Viewers (y) 98 10 12 35 15 7 17 4.1 5.6 1.9 10.2 9.8 13.7 4.5 0 20 40 60 80 100 0 20 40 60 80 100 0 20 40 60 80 100 20 40 60 80 100 The linear correlation coefficient r is (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 than the significance level 0.05, there sufficient evidence to support the claim that there is a linear correlation between annual salaries (in millions) and the number of viewers (in millions) for a significance level of a = 0.05. Can the number of viewers be used to get a good sense of annual salaries? O A. Knowing the number of viewers is not helpful in getting a good sense for the annual salaries because there does not appear to be a linear correlation between the two variables. O B. Knowing the number of viewers is helpful in getting a good sense for the annual salaries, because there does not appear to be a linear correlation between the two variables. O C. Knowing the number of viewers is not helpful in getting a good sense for the annual salaries because there appears to be a linear correlation between the two variables. O D. Knowing the number of viewers is helpful in getting a good sense for the annual salaries because there appears to be a linear correlation between the two variables.
Transcribed Image Text:The data below shows the annual salaries (in millions) and the number of viewers (in millions) of eight television actors and actresses. 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 the two variables? Salary (x) Viewers (y) 98 10 12 35 15 7 17 4.1 5.6 1.9 10.2 9.8 13.7 4.5 0 20 40 60 80 100 0 20 40 60 80 100 0 20 40 60 80 100 20 40 60 80 100 The linear correlation coefficient r is (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 than the significance level 0.05, there sufficient evidence to support the claim that there is a linear correlation between annual salaries (in millions) and the number of viewers (in millions) for a significance level of a = 0.05. Can the number of viewers be used to get a good sense of annual salaries? O A. Knowing the number of viewers is not helpful in getting a good sense for the annual salaries because there does not appear to be a linear correlation between the two variables. O B. Knowing the number of viewers is helpful in getting a good sense for the annual salaries, because there does not appear to be a linear correlation between the two variables. O C. Knowing the number of viewers is not helpful in getting a good sense for the annual salaries because there appears to be a linear correlation between the two variables. O D. Knowing the number of viewers is helpful in getting a good sense for the annual salaries because there appears to be a linear correlation between the two variables.
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