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Consider the linear regression of Y on X1 and X2. For this regression, you can tell...

Consider the linear regression of Y on X1 and X2. For this regression, you can tell whether the zero conditional mean condition for the error term holds, by checking whether the correlation between X1 and X2 is not one.

Explain in detail. T or F?

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Answer #1

Consider the regression model, where “Y” be the dependent variable and “X1” and “X2” are the explanatory variable.

=> Y = b0 + b1*X1 + b2*X2 + u, where “u = the error term”.

Here the conditional mean of the error term is zero, that is E(u|X1, X2) = 0, implied the mean of the error term is zero and both the explanatory variables are totally uncorrelated to the error term. On the other hand the correlation between X1 and X2 measure the linear association between X1 and X2. So, the statement is FALSE.

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