Use the given data set to complete parts (a) through (c) below. (Use a = 0.05.) X 10 8 13 9 11 14 6 4 12 7 5 7.45 6.76 12.74 7.11 7.81 8.85 6.08 5.39 8.16 6.43 5.73 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 claim of a linear corre n a =.05 The linear correlation coefficient is r =]. 950 (Round to three decimal places as needed.) 4 878 Using the linear correlation coefficient found in the previous step, determine whether there is sufficient evidence to support the clai .811 variables. Choose the correct answer below. 754 .707 60 00 O A. There is insufficient evidence to support the claim of a nonlinear correlation between the two variables. 666 O B. There is sufficient evidence to support the claim of a nonlinear correlation between the two variables. 10 632 .602 O C. There is sufficient evidence to support the claim of a linear correlation between the two variables. 12 .576 O D. There is insufficient evidence to support the claim of a linear correlation between the two variables. 13 553 14 532 c. Identify the feature of the data that would be missed if part (b) was completed without constructing the scatterplot. Choose the o 15 514 16 497 O A. The scatterplot does not reveal a perfect straight-line pattern. 17 482 O B. The scatterplot reveals a perfect straight-line pattern and does not contain any outliers. 18 .468 19 456 O C. The scatterplot reveals a perfect straight-line pattern, except for the presence of one outlier. 20 444 O D. The scatterplot does not reveal a perfect straight-line pattern, and contains one outlier. 25 396 30 361 35 335 40 .312 45 294