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Consider the Following Regression Model: Yi = 0

Question 25

Multiple Choice

Consider the following regression model: yi = Consider the following regression model: y<sub>i</sub> = <sub>0</sub> + <sub>1</sub>x<sub>i</sub> + u<sub>i</sub>. If the first four Gauss-Markov assumptions hold true, and the error term contains heteroskedasticity, then _____. A) Var(u<sub>i</sub>|x<sub>i</sub>) = 0 B) Var(u<sub>i</sub>|x<sub>i</sub>) = 1 C) Var(u<sub>i</sub>|x<sub>i</sub>) = i<sup>2</sup> D) Var(u<sub>i</sub>|x<sub>i</sub>) = 0 + Consider the following regression model: y<sub>i</sub> = <sub>0</sub> + <sub>1</sub>x<sub>i</sub> + u<sub>i</sub>. If the first four Gauss-Markov assumptions hold true, and the error term contains heteroskedasticity, then _____. A) Var(u<sub>i</sub>|x<sub>i</sub>) = 0 B) Var(u<sub>i</sub>|x<sub>i</sub>) = 1 C) Var(u<sub>i</sub>|x<sub>i</sub>) = i<sup>2</sup> D) Var(u<sub>i</sub>|x<sub>i</sub>) = 1xi + ui. If the first four Gauss-Markov assumptions hold true, and the error term contains heteroskedasticity, then _____.


A) Var(ui|xi) = 0
B) Var(ui|xi) = 1
C) Var(ui|xi) = Consider the following regression model: y<sub>i</sub> = <sub>0</sub> + <sub>1</sub>x<sub>i</sub> + u<sub>i</sub>. If the first four Gauss-Markov assumptions hold true, and the error term contains heteroskedasticity, then _____. A) Var(u<sub>i</sub>|x<sub>i</sub>) = 0 B) Var(u<sub>i</sub>|x<sub>i</sub>) = 1 C) Var(u<sub>i</sub>|x<sub>i</sub>) = i<sup>2</sup> D) Var(u<sub>i</sub>|x<sub>i</sub>) = i2
D) Var(ui|xi) = Consider the following regression model: y<sub>i</sub> = <sub>0</sub> + <sub>1</sub>x<sub>i</sub> + u<sub>i</sub>. If the first four Gauss-Markov assumptions hold true, and the error term contains heteroskedasticity, then _____. A) Var(u<sub>i</sub>|x<sub>i</sub>) = 0 B) Var(u<sub>i</sub>|x<sub>i</sub>) = 1 C) Var(u<sub>i</sub>|x<sub>i</sub>) = i<sup>2</sup> D) Var(u<sub>i</sub>|x<sub>i</sub>) =

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