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(Solved): For two variables \( x, y \) that have means \( \mu_{x}, \mu_{y} \), the Covariance is defined as: ...



For two variables \( x, y \) that have means \( \mu_{x}, \mu_{y} \), the Covariance is defined as:
1. the expectation value o

For two variables \( x, y \) that have means \( \mu_{x}, \mu_{y} \), the Covariance is defined as: 1. the expectation value of \( \left(x-\mu_{x}\right) \times\left(y-\mu_{y}\right) \) 2. the expectation value of \( \left(x-\mu_{x}\right)^{2} \times\left(y-\mu_{y}\right)^{2} \) 3. the expectation value of \( \left(x-\mu_{x}\right)^{2}+\left(y-\mu_{y}\right)^{2} \) 4. the expectation value of \( \left(x-\mu_{x}\right)+\left(y-\mu_{y}\right) \)


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Here ; E(X) = ?x and E(Y) = ?y We kno
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