The normal approximation to the sampling distribution of 
1 is powerful because
A) many explanatory variables in real life are normally distributed.
B) it allows econometricians to develop methods for statistical inference.
C) many other distributions are not symmetric.
D) is implies that OLS is the BLUE estimator for β1.
Correct Answer:
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Q11: Interpreting the intercept in a sample regression
Q12: The OLS residuals
A)can be calculated using the
Q13: The slope estimator,β1,has a smaller standard error,other
Q16: Binary variables
A)are generally used to control for
Q16: The regression R2 is a measure of
A)whether
Q17: If the three least squares assumptions hold,then
Q18: The following are all least squares assumptions
Q19: The OLS residuals, Q20: The reason why estimators have a sampling Q20: The variance of Yi is given by
A)
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