Homework Help is Here – Start Your Trial Now!
Math
Statistics
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
See similar textbooks
icon
Related questions
icon
Concept explainers
Question
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.
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 6 steps

SEE SOLUTIONCheck out a sample Q&A here
Blurred answer
Knowledge Booster
Correlation, Regression, and Association
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.
Similar questions
  • SEE MORE QUESTIONS
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman
SEE MORE TEXTBOOKS