Suppose that \(\left(\begin{array}{l} X \\ Y \end{array}\right)\) has a bivariate density f = \(\frac{1}{2}\)f1 + \(\frac{1}{2}\)f2, where f1 and f2 are respectively, the densities of bivariate normal distributions N(μ1, Σ) and N(μ2, Σ), with μ1 = \(\)\(\left(\begin{array}{l} 1 \\ 1 \end{array}\right)\), μ2 = \(\left(\begin{array}{l} -1 \\ -1 \end{array}\right)\) and Σ = I2, the 2 × 2 identity matrix. Then which of the following is correct?

1
X and Y are positively correlated
2
X and Y are negatively correlated
3
X and Y are uncorrelated but they are not independent
4
X and Y are independent
5
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