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y xy x2 y? 5 2 10 25 15 10 150 100 25 16 400 625 256 35 | 25 Q 1225 625 Σ

y xy x2 y? 5 2 10 25 15 10 150 100 25 16 400 625 256 35 | 25 Q 1225 625 Σ

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Refer to the (incomplete) table below which shows the relationship between two variables, x and y. y ху x2 y2 5 2 10 25 4 15 10 150 P 100 25 400 625 256 35 25 1225 625 Σ 22. The values of P and Q, respectively, are: A. 225 and 975 B. 225 and 875 C. 30 and 875 D. 225 and 845 23. The values of Ey and Ey2, respectively, are: A. 53 and 958 B. 57 and 985 C. 53 and 2809 D. 53 and 985 24. The linear regression equation is: A. y = -1.75 + 0,75x B. y = -1.75 – 0.75x C. y = 1.75 – 0.75x D. y = 1.75 + 0.75x 25. The Pearson's correlation coefficient is: A. 0.977 B. 0.997 C. -0.997 D. 0.913
Transcribed Image Text:Refer to the (incomplete) table below which shows the relationship between two variables, x and y. y ху x2 y2 5 2 10 25 4 15 10 150 P 100 25 400 625 256 35 25 1225 625 Σ 22. The values of P and Q, respectively, are: A. 225 and 975 B. 225 and 875 C. 30 and 875 D. 225 and 845 23. The values of Ey and Ey2, respectively, are: A. 53 and 958 B. 57 and 985 C. 53 and 2809 D. 53 and 985 24. The linear regression equation is: A. y = -1.75 + 0,75x B. y = -1.75 – 0.75x C. y = 1.75 – 0.75x D. y = 1.75 + 0.75x 25. The Pearson's correlation coefficient is: A. 0.977 B. 0.997 C. -0.997 D. 0.913
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