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Let $X$ be a random variable with a mean of $\mu$ and a variance of $\sigma^2$ and let $Y = aX +b$. Show for non-zero constants $a$ and $b$ that $\operatorname{Corr}(X; Y ) = +1$ or $-1$.

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Use the fact that $\text{Corr}(X,Y) = \frac{\text{Cov}(X,Y)}{\sigma_{X} \sigma_{Y}}$

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    is there a way to break apart the equation y= ax+b in order to incorporate a and b into the formula for correlation?2012-01-31