4. For arbitrary random variables X and Y, prove that $\Cov(X, E[Y|X]) = \Cov(X, Y)$.
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The conditional expectation of Y given X, denoted as E[Y|X], is a function of X that represents the expected value of Y given a specific value of X. Show more…
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