Use the given data set to complete parts (a) through (c) below. (Use α=0.05.) 10 8 8.13 13 8.74 9 8.78 9.13 Click here to view a table of critical values for the correlation coefficient. X y a. Construct a scatterplot. Choose the correct graph below. OB. Ay OA. Ay 10- 8- 6- 4- 2- of 0000 4 8 12 16 Q Q 10+ 8- 6 4 2 www 4 8 12 16 Q R 11 9.25 14 8.11 CHI O C. AY 10- 8- 64 4- 2- 0+ 0 6 6.12 00000 4 8 12 16 Q Q 4 3.09 12 9.14 O D. Ay 10+ 8- 6 4- 2 0- 0 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=₁ (Round to three decimal places as needed.) 8 A 7 7.26 12 16 Q 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 cor below. OA. There is sufficient evidence to support the claim of a linear correlation between the two variables.
Use the given data set to complete parts (a) through (c) below. (Use α=0.05.) 10 8 8.13 13 8.74 9 8.78 9.13 Click here to view a table of critical values for the correlation coefficient. X y a. Construct a scatterplot. Choose the correct graph below. OB. Ay OA. Ay 10- 8- 6- 4- 2- of 0000 4 8 12 16 Q Q 10+ 8- 6 4 2 www 4 8 12 16 Q R 11 9.25 14 8.11 CHI O C. AY 10- 8- 64 4- 2- 0+ 0 6 6.12 00000 4 8 12 16 Q Q 4 3.09 12 9.14 O D. Ay 10+ 8- 6 4- 2 0- 0 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=₁ (Round to three decimal places as needed.) 8 A 7 7.26 12 16 Q 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 cor below. OA. There is sufficient evidence to support the claim of a linear correlation between the two variables.
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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