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

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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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