In the linear model, Cov( X, u ) has the same value as:
A) X*u
B) E( X*u )
C) u
D) None of the Above.
Answer:
Given the value of X for a linear, model we know that:
E(XU | X) = 0
Therefore, we have here the covariance computed as:
Cov(X, U) = E(XU) - E(X)E(U)
For linear model, the mean error is 0, therefore E(U) = 0
Therefore, we have here:
Cov(X, U) = E(XU)
Therefore B) E(XU) is the correct answer here.
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