10 9.14 13 8.74 11 9.27 14 8.09 y 8.13 8.77 4 12 9.14 5 6.13 3.09 7.25 4.73 Click here to view a table of critical values for the correlation coefficient. b. Find the linear correlation coefficient, r, then determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables. The linear correlation coefficient is r= (Round to three decimal places as needed.) Using the linear correlation coefficient found in the previous step, determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables. Choose the correct answer below. O A. There is sufficient evidence to support the claim of a nonlinear correlation between the two variables. O B. There is insufficient evidence to support the claim of a linear correlation between the two variables. O C. There is sufficient evidence to support the claim of a linear correlation between the two variables. O D. There is insufficient evidence to support the claim of a nonlinear correlation between the two variables.

10 9.14 13 8.74 11 9.27 14 8.09 y 8.13 8.77 4 12 9.14 5 6.13 3.09 7.25 4.73 Click here to view a table of critical values for the correlation coefficient. b. Find the linear correlation coefficient, r, then determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables. The linear correlation coefficient is r= (Round to three decimal places as needed.) Using the linear correlation coefficient found in the previous step, determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables. Choose the correct answer below. O A. There is sufficient evidence to support the claim of a nonlinear correlation between the two variables. O B. There is insufficient evidence to support the claim of a linear correlation between the two variables. O C. There is sufficient evidence to support the claim of a linear correlation between the two variables. O D. There is insufficient evidence to support the claim of a nonlinear correlation between the two variables.

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Description: 109.148.138.74y8.13111448.771277.259.278.096.133.099.144.73Click here to view a table of critical values for the correlation coefficient.b. Find the linear correlation coefficient, r, then determine whether there is sufficient evidence to support th

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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Use the given data set to complete parts (a) through (c) below. (Use a = 0.05.) 10 13 9. 11 14 4 12 7 y 9.15 8.13 8.74 8.77 9.27 8.11 6.12 3.09 9.14 7.26 4.75 Click here to view a table of critical values for the correlation coefficient. a. Construct a scatterplot. Choose the correct graph below. O A. В. C. D. Ay 10- Ay 10- Ay 10- Ay 10- 8- 8- 8- 8- 6- 6- 6- 6- 4- 4- 4- 4- 2- 2- 2- 2- X 0+ 4 0+ 4 0+ 4 0+ 4 12 16 8 12 16 8 12 16 8 12 16 b. Find the linear correlation coefficient, r, then determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables. The linear correlation coefficient is r= (Round to three decimal places as needed.) Using the linear correlation coefficient found in the previous step, determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables. Choose the correct answer below. A. There is insufficient evidence to support the claim of a linear correlation…
Use the given data set to complete parts (a) through (c) below. (Use a = 0.05.) 10 8. X 13 12.75 9 11 14 4 12 8.15 y 7.47 6.78 7.12 7.81 8.84 6.08 5.38 6.42 5.74 Click here to view a table of critical values for the correlation coefficient. a. Construct a scatterplot Choose the correct graph below. O A. OB. OC. O D. Ay 16- Ay 16+ Ay 16- AY 16- 12- 12- 12+ 12- 8- 8- 8- 8- 4- 4- 4- 4. 0- 4 0- 8 12 16 12 16 0- 4 0- 12 16 4 8 12 16 b. Find the linear correlation coefficient, r, then determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables. The linear corelation coefficient is r=| (Round to three decimal places as needed.) Using the linear correlation coefficient found in the previous step, determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables. Choose the correct answer below. O A. There is sufficient evidence to support the claim of a nonlinear correlation between…
(Use alpha equals0.05.) a. Construct a scatterplot. b. Find the linear correlation coefficient, r, then determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables. The linear correlation coefficient is r= (Round to three decimal places as needed.)
Use the data values in the table below to calculate the correlation between the variables x and y.Submit the link through Canvas to either a photo of your work on paper or a link to a google sheet. x y 3 19.13 4 21.24 5 19.65 6 18.36 7 17.57 8 18.98 9 16.99 10 16.7 Give your answer to three decimal places. __?__
K The 'pizza connection' is the principle that the price of a slice of pizza is always about the same as th the pizza and subway cost data in the table below to determine whether there is a linear correlation b items. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value whether there is sufficient evidence to support a claim of linear correlation between the two variables results does it appear that the subway fare is always about the same as a slice of pizza? Use a signi X Pizza Cost and Subway Fares Year Pizza Cost Subway Fare CPI 1960 1973 1986 1995 2002 2003 2009 2013 2015 2019 D 0.15 0.35 1.00 1.25 1.75 2.00 2.25 2.30 2.75 3.00 0.15 0.35 1.00 1.40 1.50 2.00 2.25 2.50 2.75 2.75 29.5 43.9 109.6 152.1 180.0 184.0 214.5 233.0 237.0 252.2 Print Done The linear correlation coefficient is r = (Round to three decimal places as needed.)
The readout of the correlation is r = 0.8162 with a p-value of 0.0022. What does the scatterplot reveal that is missed from the correlation results?
A grocery store manager did a study to look at the relationship between the amount of time (in minutes) customers spend in the store and the amount of money (in dollars) they spend. The results of the survey are shown below. Time 10 8 6 13 19 18 27 10 7 Money 58 25 41 51 84 81 87 45 15 Find the correlation coefficient: r=r= Round to 2 decimal places. The null and alternative hypotheses for correlation are:H0:H0: == 0H1:H1: ≠≠ 0 The p-value is: (Round to four decimal places) Use a level of significance of α=0.05α=0.05 to state the conclusion of the hypothesis test in the context of the study. There is statistically insignificant evidence to conclude that there is a correlation between the amount of time customers spend at the store and the amount of money that they spend at the store. Thus, the use of the regression line is not appropriate. There is statistically significant evidence to conclude that there is a correlation between the amount of time…
Use the given data set to complete parts (a) through (c) below. (Use a =0.05.) 10 8 13 9. 11 14 4 12 7 y 9.15 8.14 8.74 8.77 9.25 8.11 6.12 3.09 9.14 7.26 4.74 Click here to view a table of critical values for the correlation coefficient. Ay 10- Ay 10- 本Y 10- y 10- 8- 8- 6- 8- 8- 6- 6- 6- 4- 4- 4 4. 2- 2- 2- 2- 0- 4 8 12 16 4 8 12 16 4 18 12 16 4 8. 12 16 b. Find the linear correlation coefficient, r, then determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables. The linear correlation coefficient is r= (Round to three decimal places as needed.)
Police sometimes measure shoe prints at crime scenes so that they can learn something about criminals. Listed below are shoe print lengths and heights of males. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value of r. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Use a significance level of alpha equals 0.05. a. The linear correlation coefficient is r equals (Round to three decimal places as needed.) b. The test statistic is t equals (Round to two decimal places as needed.) c. The P-value is (Round to three decimal places as needed.)