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Use the given data set to complete parts (a) through (c) below. (Use a=0.05.) 10 8. 13 8.74 6. 11 14 4 12 y 9.13 8.15 8.76 9.26 8.11 6.12 3.11 9.13 7.26 4.74 Click here to view a table of critical values for the correlation coefficient a. Construct a scatterplot. Choose the correct graph below. A. Oc. AY 10 AY 104- OD. Ay 10- Ay 10- 8- 8- 6- 8- 6- 8- 6- 4- 6- 4- 241 .......... 4. 2- 4- 04- 2- A 12 16 04 2- 12 16 12 16 0- 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. 8. 12 16 The linear correlation coefficient is r (Round to three decimal places as needed.)

Use the given data set to complete parts (a) through (c) below. (Use a=0.05.) 10 8. 13 8.74 6. 11 14 4 12 y 9.13 8.15 8.76 9.26 8.11 6.12 3.11 9.13 7.26 4.74 Click here to view a table of critical values for the correlation coefficient a. Construct a scatterplot. Choose the correct graph below. A. Oc. AY 10 AY 104- OD. Ay 10- Ay 10- 8- 8- 6- 8- 6- 8- 6- 4- 6- 4- 241 .......... 4. 2- 4- 04- 2- A 12 16 04 2- 12 16 12 16 0- 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. 8. 12 16 The linear correlation coefficient is r (Round to three decimal places as needed.)

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 24PFA
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Table of Critical Values a = .05 a = .01 4. .950 .990 .878 .959 .811 .917 .754 .875 .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 .378 567
Transcribed Image Text:Table of Critical Values a = .05 a = .01 4. .950 .990 .878 .959 .811 .917 .754 .875 .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 .378 567
Use the given data set to complete parts (a) through (c) below. (Use a=0.05.) 12 7 9 11 14 6. 7.26 4.74 10 8 13 6.12 9.13 8.74 8.76 9.26 8.11 3.11 y 9.13 8.15 Click here to view a table of critical values for the correlation coefficient. .... a. Construct a scatterplot. Choose the correct graph below. B. Oc. OD. A. AY 10- Ay 10- Ay 10- Ay 10- 8- 8- 8- 8- 6- 6 6- 6- 4- 4- 4- 4- 2- 2- 2- 2- 0- 4 8 4 8 12 16 12 16 0- 04 8. 12 16 4 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.)
Transcribed Image Text:Use the given data set to complete parts (a) through (c) below. (Use a=0.05.) 12 7 9 11 14 6. 7.26 4.74 10 8 13 6.12 9.13 8.74 8.76 9.26 8.11 3.11 y 9.13 8.15 Click here to view a table of critical values for the correlation coefficient. .... a. Construct a scatterplot. Choose the correct graph below. B. Oc. OD. A. AY 10- Ay 10- Ay 10- Ay 10- 8- 8- 8- 8- 6- 6 6- 6- 4- 4- 4- 4- 2- 2- 2- 2- 0- 4 8 4 8 12 16 12 16 0- 04 8. 12 16 4 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.)
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