Create a pair of random variables, where the correlation between X_1and X_2 is small. We can do this by letting X_2=a*X_1+b*Z, (X_1 and Z be independent random variables) and changing the constant values of a and b.
Let ~ N(0,1) and Z ~ N(0,1) and and Z are independent.
Let = 0.1 + 0.9Z
Thus, E() = 0.1 * E() + 0.9 E(Z) = (0.1 * 0) + (0.9 * 0) = 0.
Var() = [ Cov(X2, Z) = 0 as X2 and Z are independent]
i.e. Var() = 0.01 + 0.81 = 0.82.
Hence, ~ N(0, 0.82).
Now, Cov(, ) = Cov(0.1 + 0.9Z, ) = 0.1Cov(, ) + 0.9 Cov(Z, ) = 0.1 + 0 = 0.1.
Hence, correlation between and is small.
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