Use the given data set to complete parts (a) through (c) below. (Use a = 0.05.) 10 8 13 9 11 14 6 9. 14 8.14 4 8.75 12 7 8.76 9.26 5 8.09 6.12 3.11 9.14 7.25 4.75 Click here to view a table of critical values for the correlation coefficient. Table of Critical Values b. Find the linear correlation coefficient, r, then determine whether there is sufficient evidence to support the cla The linear correlation coefficient is r =]. n a =.05 a = .01 (Round to three decimal places as needed.) 950 990 QUIA 878 959 Using the linear correlation coefficient found in the previous step, determine whether there is sufficient evidence 871 917 variables. Choose the correct answer below. 754 875 707 834 40 00 O A. There is sufficient evidence to support the claim of a nonlinear correlation between the two variables. 666 798 B. There is insufficient evidence to support the claim of a linear correlation between the two variables. 10 632 765 .602 .735 O C. There is insufficient evidence to support the claim of a nonlinear correlation between the two variables. 12 .576 708 O D. There is sufficient evidence to support the claim of a linear correlation between the two variables. 13 553 68 14 .532 .66 c. Identify the feature of the data that would be missed if part (b) was completed without constructing the scatter 15 514 .64 16 .497 O A. The scatterplot does not reveal a distinct pattern. 17 482 .6 O B. The scatterplot reveals a distinct pattern that is a straight-line pattern with positive slope. 18 468 19 .456 O C. The scatterplot reveals a distinct pattern that is a straight-line pattern with negative slope. 20 444 O D. The scatterplot reveals a distinct pattern that is not a straight-line pattern. 25 396 30 361 35 .335 40 .312 45 294