Final answer:
To find the correlation coefficient between X and Y, we need to calculate the covariance and the standard deviations of X and Y.
Step-by-step explanation:
To find the correlation coefficient between X and Y, we need to calculate the covariance and the standard deviations of X and Y.
The covariance, cov(X,Y), is calculated using the formula:
cov(X,Y) = E[(X - µX)(Y - µY)]
Where E denotes expectation, and µX and µY are the means of X and Y, respectively.
The standard deviations, σX and σY, are the square roots of the variances of X and Y, respectively.
The correlation coefficient, ρ, is then calculated as:
ρ = cov(X,Y) / (σX σY)
Given that X and Y have a joint frequency function f(x,y) = e^(1/6)[2x-y^2+2xy]/(2π√3), we can proceed to calculate the covariance and the standard deviations, and finally the correlation coefficient.