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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 = 0.817. (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 nonlinear correlation between the two variables. B. There is sufficient evidence to support the claim of a linear correlation between the two variables. C. There is insufficient evidence to support the claim of a linear correlation between the two variables. 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 does not reveal a distinct pattern. C. The scatterplot reveals a distinct pattern that is not a straight-line pattern. D. The scatterplot reveals a distinct pattern that is a straight-line pattern with negative slope.
Table of Critical Values n α = .05 α = .01 .950 .990 .878 .959 .811 .917 .754 .875 .707 .834 .666 .798 .632 .765 .602 .735 .576 .708 .553 .684 .532 .661 .514 .641 .497 .623 .482 .606 .468 .590 .456 .575 .444 .561 25 .396 .505 30 .361 .463 35 .335 .430 40 .312 .402 45 .294 .378 50 .279 .361 60 .254 .330 70 .236 .305 80 .220 .286 90 .207 .269 100 .196 .256 NOTE: To test Ho: p = 0 against H₁: p = 0, reject Ho if the absolute value of r is Print Done 456 7 8 9 00 OFNM + 10 11 12 13 14 15 16 17 18 19 20 I