Q. 4. Find the correlation coefficient between x and y
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The covariance of X and Y neccessarily reflects the units of both random variables. It is helpful instead to have a dimensionless measure of dependency, such as the correlation coefficient does.
Definition. Let X and Y be any two random variables (discrete or continuous!) with standard deviations σX and σY, respectively. The correlation coefficient of X and Y, denoted Corr(X,Y)or (the greek letter "rho") is defined as:
ρXY=Corr(X,Y)=Cov(X,Y)σXσY=σXYσXσYρXY=Corr(X,Y)=Cov(X,Y)σXσY=σXYσXσY
Definition. Let X and Y be any two random variables (discrete or continuous!) with standard deviations σX and σY, respectively. The correlation coefficient of X and Y, denoted Corr(X,Y)or (the greek letter "rho") is defined as:
ρXY=Corr(X,Y)=Cov(X,Y)σXσY=σXYσXσYρXY=Corr(X,Y)=Cov(X,Y)σXσY=σXYσXσY
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