Multiple Choice
The following is not part of the extended least squares assumptions for regression with a single regressor:
A) var(ui | Xi) =
B) E(ui | Xi) = 0.
C) the conditional distribution of ui given Xi is normal.
D) var(ui | Xi) =
Correct Answer:

Verified
Correct Answer:
Verified
Q24: Consider the model Y<sub>i</sub> = β<sub>1</sub>X<sub>i</sub>
Q25: In order to use the t-statistic
Q26: One of the earlier textbooks in econometrics,
Q27: What does the Gauss-Markov theorem prove? Without
Q28: Consider the simple regression model Yi
Q30: The Gauss-Markov Theorem proves that<br>A)the OLS estimator
Q31: Consider the model Y<sub>i</sub> - β<sub>1</sub>X<sub>i</sub>
Q32: All of the following are good reasons
Q33: When the errors are heteroskedastic, then<br>A)WLS is
Q34: (Requires Appendix material)This question requires you to