Question: 1._ Using the linear C found in the previous step: choose the correct answer:A) there is sufficient evidence to support the claim of a linear
1._ Using the linear C found in the previous step: choose the correct answer:A) there is sufficient 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 variablesC) there is insufficient evidence to support the claim of a nonlinear correlation between the two variables.D) there is insufficient evidence to support the claim of a linear correlation between the two variables. 2.- identify the feature of the data that would be missed if part. (B) was completed without constructing the scatter plot. choose the correct answer:A) The scatter Poot revelas a perfect straight line pattern and does not contain any outliers.B) The scatter Plot does not reveal a perfect straight line pattern.C) the scatter plot reveals a perfect straight- line pattern, except for the presence. Of one outlier.D) The scatter plot does not reveals a perfect straight line pattern, and contains one outlier.

This Test: 100 pts po Use the given data set to complete parts (a) through (c) below. (Use a = 0.05.) X > 13 12.75 8.84 6.08 5.38 Click here to view a table of critical values for the correlation coefficient. 8.15 6.42 5.73 O A. O B. O C. OD 16- 16- 12- 12- O O ......... . .......... ......... . 4 - 0o X ' 16 -00 12 o 8 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. A. There is sufficient evidence to support the claim of a linear correlation between the two variables
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