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Calculate Karl Pearson's coefficient of correlation from the following data and interpret its value : The coefficient of correlation is said to be a measure of covariance between two series. The covariance of two series X and Y is written as : Σχυ N Covariance where x and y stand for deviations of X and Y series from their respective means. In order to find out the value of correlation coefficient, first we calculate covariance and then in order to convert it to a relative measure we divide the covariance by the standard deviation of the two series. The ratio so obtained is called Karl Pearson's coefficient E xy 2 Ex1 Ey * r =: Ox = Oy = %3D N N E xy E xy Ex Ey Συ VE X x E y NV N N

Calculate Karl Pearson's coefficient of correlation from the following data and interpret its value : The coefficient of correlation is said to be a measure of covariance between two series. The covariance of two series X and Y is written as : Σχυ N Covariance where x and y stand for deviations of X and Y series from their respective means. In order to find out the value of correlation coefficient, first we calculate covariance and then in order to convert it to a relative measure we divide the covariance by the standard deviation of the two series. The ratio so obtained is called Karl Pearson's coefficient E xy 2 Ex1 Ey * r =: Ox = Oy = %3D N N E xy E xy Ex Ey Συ VE X x E y NV N N

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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Calculate Karl Pearson's coefficient of correlation from the following data and interpret its value : The coefficient of correlation is said to be a measure of covariance between two series. The covariance of two series X and Y is written as : Exy N Covariance where x and y stand for deviations of X and Y series from their respective In order to find out the value of correlation coefficient, first we calculate covariance and then in order to convert it to a relative measure we divide the covariance by the standard deviation of the two series. The ratio so obtained is called Karl Pearson's coefficient means. E xy 2 Σχ * r =- Ox = Oy = N N E xy E xy = Συ VE x x £ y NV N N
Transcribed Image Text:Calculate Karl Pearson's coefficient of correlation from the following data and interpret its value : The coefficient of correlation is said to be a measure of covariance between two series. The covariance of two series X and Y is written as : Exy N Covariance where x and y stand for deviations of X and Y series from their respective In order to find out the value of correlation coefficient, first we calculate covariance and then in order to convert it to a relative measure we divide the covariance by the standard deviation of the two series. The ratio so obtained is called Karl Pearson's coefficient means. E xy 2 Σχ * r =- Ox = Oy = N N E xy E xy = Συ VE x x £ y NV N N
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