MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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- Use the given data set to complete parts (a) through (c) below. (Use a = 0.05.) 10 8 13 9. 11 14 6. 4 12 7 9.14 8.14 8.74 8.78 9.27 8.09 6.14 3.09 9.14 7.25 4.73 Click here to view a table of critical values for the correlation coefficient. a. Construct a scatterplot. Choose the correct graph below. O A. O B. С. D. Ay 10- 10- 10- 8- 10- 8- 8- 6- 8- 6- 6- 4- 6- 4- 4- 2- 4- 2- 2- ........... 0- 2- 0+ 4 0. 4 8. 12 16 0- 8 12 16 0- 4 8 12 16 4 8. 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. O A. There is sufficient evidence to support the claim of a nonlinear…arrow_forwardA researcher wants to see if the fat content in burgers and their calories are related. Fat (g) Calories What is the correlation coefficient, r ? O210.954 11.055 O 0.922815 19 31 34 35 39 39 43 410 580 590 570 640 680 660 O 0.960633 DELLarrow_forwardBased on the data shown below, calculate the correlation coefficient (rounded to three decimal places) x y 4 31.6 5 30.45 6 29 7 26.95 8 28 9 25.85 10 23.6 11 21.15 12 20 13 18.55 14 14.5arrow_forward
- Based on the data shown below, calculate the correlation coefficient (rounded to three decimal places) 18.27 16.66 4 16.45 14.64 6. 15.73 7 11.62 8. 10.11 6. 9.7arrow_forwardA psychologist has calculated the correlation between two variables as 0.9. Which of the following statements is correct? a. The average value of y changes by 0.9 when x is increased by 1. b. The average value of x changes by 0.9 when y is increased by 1. c. The explanatory variable ( x ) explains 0.9 of the variation in the response variable ( y ) d. The explanatory variable ( x ) explains 0.81 of the variation in the response variable ( y )arrow_forward
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