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

question 28

Multiple Choice

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) \(Y _ { i } = \boldsymbol { X } _ { i } ^ { \prime } \boldsymbol { \beta } + u _ { i } , i = 1 , \ldots , n\)

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