Final answer:
To show that Cov(aX+b,cY+d) = acCov(X,Y), substitute the given variables into the equation and use the properties of covariance.
Step-by-step explanation:
To show that Cov(aX+b,cY+d) = acCov(X,Y), we need to use the properties of covariance. First, let's recall the definition of covariance:
Cov(X,Y) = E((X - E(X))(Y - E(Y)))
Now, let's substitute the given variables:
Cov(aX+b,cY+d) = E((aX+b - E(aX+b))(cY+d - E(cY+d)))
Expanding the equation:
Cov(aX+b,cY+d) = E(a(X - E(X)))E(c(Y - E(Y)))
Since a and c are constants, we can pull them out of the expectation:
Cov(aX+b,cY+d) = acE((X - E(X))(Y - E(Y)))
Which is equivalently:
Cov(aX+b,cY+d) = acCov(X,Y)