The following is not one of the Gauss-Markov conditions
a. $\operatorname { var } \left( u _ { i } \mid X _ { 1 } , \ldots , X _ { n } \right) = \sigma _ { u } ^ { 2 } , 0

Question

The following is not one of the Gauss-Markov conditions
a. $\operatorname { var } \left( u _ { i } \mid X _ { 1 } , \ldots , X _ { n } \right) = \sigma _ { u } ^ { 2 } , 0 < \sigma _ { u } ^ { 2 } < \infty$ for $i = 1 , \ldots , n$,
b. the errors are normally distributed.
c. $E \left( u _ { i } u _ { j } \mid X _ { 1 } , \ldots , X _ { n } \right) = 0 , i = 1 , \ldots , n , j = 1 , \ldots , n , i \neq j$.
d. $E \left( u _ { i } \mid X _ { 1 } , \ldots , X _ { n } \right) = 0$ .

Quizplus · Accepted Answer

The Answer of The following is not one of the Gauss-Markov conditions
a. $\operatorname { var } \left( u _ { i } \mid X _ { 1 } , \ldots , X _ { n } \right) = \sigma _ { u } ^ { 2 } , 0 < \sigma _ { u } ^ { 2 } < \infty$ for $i = 1 , \ldots , n$,
b. the errors are normally distributed.
c. $E \left( u _ { i } u _ { j } \mid X _ { 1 } , \ldots , X _ { n } \right) = 0 , i = 1 , \ldots , n , j = 1 , \ldots , n , i \neq j$.
d. $E \left( u _ { i } \mid X _ { 1 } , \ldots , X _ { n } \right) = 0$ .

The Following Is Not One of the Gauss-Markov Conditions A var⁡(ui∣X1,…,Xn)=σu2,0<σu2<∞\operatorname { var } \left( u _ { i } \mid X _ { 1 } , \ldots , X _ { n } \right) = \sigma _ { u } ^ { 2 } , 0 < \sigma _ { u } ^ { 2 } < \inftyvar(ui​∣X1​,…,Xn​)=σu2​,0<σu2​<∞

The Following Is Not One of the Gauss-Markov Conditions
A $\operatorname { var } \left( u _ { i } \mid X _ { 1 } , \ldots , X _ { n } \right) = \sigma _ { u } ^ { 2 } , 0 < \sigma _ { u } ^ { 2 } < \infty$