Table of critical values a = .05 a = .01 .950 .990 .878 .959 .811 .917 .754 .875 8. .707 .834 9. .666 .798 10 .632 .765 11 .602 .735 12 .576 .708 13 .553 .684 14 .532 .661 15 .514 .641 16 .497 .623 17...

Extracted text: Table of critical values a = .05 a = .01 .950 .990 .878 .959 .811 .917 .754 .875 8. .707 .834 9. .666 .798 10 .632 .765 11 .602 .735 12 .576 .708 13 .553 .684 14 .532 .661 15 .514 .641 16 .497 .623 17 .482 .606 18 .468 .590 19 .456 .575 20 .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 Hip = 0 against Hi p + 0, reject Ho if the absolute value of r is greater than the critical value in the table.


Extracted text: Use the given data set to complete parts (a) through (c) below. (Use a = 0.05.) 10 8. 13 9 11 14 4 12 7 y 9.13 8.13 8.73 8.76 9.26 8.11 6.14 3.09 9.13 7.26 4.75 Click here to view a table of critical values for the correlation coefficient. ..... a. Construct a scatterplot. Choose the correct graph below. OA. В. C. O D. Ay 10- AY 10- Ay 10- 10- 8- 8- 8- 8- 6- 6- 6- 6- 4- 4- 4- 4- 2- 2- 2- 2- 0+ 4 0+ 4 0- 0- 12 16 16 8 12 16 4 8. 12 16 12 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.)