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 7.47 6.77 12.74 7.11 7.82 8.84 6.09 5.39 8.16 6.43 5.72 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. O c. OD. 16 Ty 16 Ty Ay 16- 167 12- 12- 12- 12- 8- 8- 8- 4- 4- X 16 16 12 16 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 sufficient evidence to support the claim of a linear correlation between the two variables. O B. There is sufficient evidence to support the claim of a nonlinear correlation between the two variables. O C. There is insufficient 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.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. O A. The scatterplot does not reveal a perfect straight-line pattern. O B. The scatterplot reveals a perfect straight-line pattern and does not contain any outliers. O C. The scatterplot does not reveal a perfect straight-line pattern, and contains one outlier. O D. The scatterplot reveals a perfect straight-line pattern, except for the presence of one outlier