The Multiple Regression Model in Matrix Form $\boldsymbol { Y } = \boldsymbol { X } \boldsymbol { \beta } + \boldsymbol { U }$

The multiple regression model in matrix form $\boldsymbol { Y } = \boldsymbol { X } \boldsymbol { \beta } + \boldsymbol { U }$ can also be written as

A) $Y _ { i } = \boldsymbol { \beta } _ { 0 } + \boldsymbol { X } _ { i } ^ { \prime } \boldsymbol { \beta } + u _ { i } , i = 1 , \ldots , n$
B) $Y _ { i } = \boldsymbol { X } _ { i } ^ { \prime } \boldsymbol { \beta } _ { i } , i = 1 , \ldots , n$
C) $Y _ { i } = \boldsymbol { \beta } \boldsymbol { X } _ { i } ^ { \prime } + u _ { i } , i = 1 , \ldots , n$
D) $Y _ { i } = \boldsymbol { X } _ { i } ^ { \prime } \boldsymbol { \beta } + u _ { i } , i = 1 , \ldots , n$