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 between the two variables.   B. There is sufficient evidence to support the claim of a nonlinear correlation between the two variables.   C. There is sufficient evidence to support the claim of a linear correlation between the two variables. Your answer is correct.   D.There is insufficient evidence to support the claim of a nonlinear correlation between the two variables.   c. Identify the feature of the data that would be missed if part​ (b) was completed without constructing the scatterplot. Choose the correct answer below.     A.The scatterplot reveals a distinct pattern that is a​ straight-line pattern with positive slope.   B.The scatterplot reveals a distinct pattern that is not a​ straight-line pattern. Your answer is correct.   C.The scatterplot reveals a distinct pattern that is a​ straight-line pattern with negative slope.   D.The scatterplot does not reveal a distinct pattern.

Use the given data set to complete parts​ (a).​ (Use α=​0.05.)   a. 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 given data set to complete parts​ (a) through​ (c) below.​ (Use α=​0.05.)   x 10 8 13 9 11 14 6 4 12 7 5   y 9.14 8.14 8.74 8.78 9.26 8.11 6.12 3.11 9.12 7.26 4.73       LOADING... Click here to view a table of critical values for the correlation coefficient.       a. Construct a scatterplot. Choose the correct graph below.     A.       04812160246810xy         A scatterplot has a horizontal x-scale from 0 to 16 in increments of 2 and a vertical y-scale from 0 to 10 in increments of 1. Eleven points strictly follow the pattern of a line passing through the points (4, 6) and (14, 1). All coordinates are approximate.   B.       04812160246810xy         A scatterplot has a horizontal x-scale from 0 to 16 in increments of 2 and a vertical y-scale from 0 to 10 in increments of 1. Eleven points strictly follow the pattern of a curve that rises from left to right passing through the…

Based on the data shown below, calculate the correlation coefficient (to three decimal places) X y 87 82.8 7 87.8 8 88.6 9. 86.6 10 91.8 11 91.8 12 88.4 Question Help: DVideo MMessage instructor Submit Question 目 Chp -> Co & 5 7 60 96 4

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 5 y 9.14 8.15 8.75 8.77 9.27 8.09 6.13 3.11 9.14 7.27 4.73 Click here to view a table of critical values for the correlation coefficient. a. Construct a scatterpiot. Choose the correct grapn below. O A. O B. O D. OC. Ay 10- Ay 10- Ay 10- 10- 8- 8- 8- 8- 6- 6- 6- 6- 4- 4- 4- ...... 2- 2- ... 2- 2- 0- 4 8 12 16 4 8 12 16 0. 4 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.) 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. SC O A. There is insufficient evidence to support the claim of a nonlinear…

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.)

For a data set of chest sizes (distance around chest in inches) and weights (pounds) of eight anesthetized bears that were measured, the linear correlation coefficient is r = 0.996. Use the table available below to find the critical values of r. Number of Pairs of Data n Critical Value of r 4 0.950 0.878 0.811 7 0.754 8. 0.707 9. 0.666 10 0.632 11 0.602 12 0.576 А. -0.707, +0.707 В. +0.707 С. +0.754 D. -0.707

The data below are the final exam scores of 10 randomly selected calculus students and the number of hours they slept the night before the exam. Calculate the linear correlation coefficient. Round to three decimal places. Hours, x Scores, y OA. 0.654 OB. 0.847 O C. 0.761 O D. 0.991 7 74 9 89 6 69 12 97 6 75 8 87 8 94 9 10 99 99 7 80 …….