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    Exam 17: The Theory of Linear Regression With One Regressor
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    The Following Is Not Part of the Extended Least Squares
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The Following Is Not Part of the Extended Least Squares

Question 34

Question 34

Multiple Choice

The following is not part of the extended least squares assumptions for regression with a single regressor:


A) var(ui 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) =   . Xi) =
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) =   . .
B) E(ui 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) =   . Xi) = 0.
C) the conditional distribution of ui given Xi is normal.
D) var(ui 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) =   . Xi) =
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) =   . .

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