Each front tire on a particular type of vehicle is supposed to be filled to a pressure of 26 psi. Suppose the actual air pressure in each tire is a random variable-X for the right tire and Y for the left tire, with joint pdf given below.f(x, y) = -ĮK(x² + y²)22 sx S 31, 22 s ys 31otherwise(a) Compute the covariance between X and Y. (Round your answer to four decimal places.)Cov(X, Y) = |(b) Compute the correlation coefficient p for this X and Y. (Round your answer to four decimal places.)p =

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Answered: - {K(x? + y?) 22 s xs 31, 22 s y s 31…

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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Example 4. Calculate Coefficient of Correlation from the following results : n= 10, ΣX- 100, ΣY - 150, Σ (X- 102180, Σ(Y-15)?-215 E(X – 10) (Y – 15) = 60
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Example 4. Calculate Coefficient of Correlation from the following results : n= 10, ΣX- 100, ΣY - 150, Σ (Y-10- 180, Σ(Y-15)215 E(X – 10) (Y –- 15) = 60
Given N-10, Στ= 140, Σy= 150, Σ(r-10)-180 E(y-15) = 215, E(x – 10)(y -15) = 60 h to Find K.P. Coefficient of Correlation and estimate the value of y when x = 15
this is date for Colon Cancer New Cases 2017 y1y1=2609.58x2x2-971041 corr(x2y1)(x2y1)=0.988 Could you tell us what your variables in your equation represent for your situation? How do you determine if there is a strong or weak linear correlation from the correlation coefficient? How do you determine if it is positive or negative?
A7. Calculate Α correlation coefficient from the following data: N- 10, Σ X= 140, Σ Υ=150 Σ (X- 10)7Ξ 180, Σ (Y- 15)2215, Σ(Χ-10) (Υ-15)-69
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Which one of the following is the covariance of the given variables X and Y? x=X-X y%3DY-Y X-X)( Y-Y )=xy Y 3 12 20 1 7 10 23 5 18 24 11 30 2 10 48 144 Select one: 156.25 25.88 12.5 53.75
True or False. If x and y have a correlation coefficient that is close to zero (r = 0), it is right to conclude that x and y do not have any relation between them at all. O True O False
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- {K(x? + y?) 22 s xs 31, 22 s y s 31 otherwise (x, y) = (a) Compute the covariance between X and Y. (Round your answer to four decimal places.) Cov(X, Y) = (b) Compute the correlation coefficient p for this X and Y. (Round your answer to four decimal places.)