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The Following Is Not Part of the Extended Least Squares var(uiXi)=σu2\operatorname { var } \left( u _ { i } \mid X _ { i } \right) = \sigma _ { u } ^ { 2 }

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The following is not part of the extended least squares assumptions for regression with a single regressor: a. var(uiXi)=σu2\operatorname { var } \left( u _ { i } \mid X _ { i } \right) = \sigma _ { u } ^ { 2 } .
b. E(uiXi)=0E \left( u _ { i } \mid X _ { i } \right) = 0 .
c. the conditional distribution of uiu _ { i } given XiX _ { i } is normal.
d. var(uiXi)=σu,i2\quad \operatorname { var } \left( u _ { i } \mid X _ { i } \right) = \sigma _ { u , i } ^ { 2 } .


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