A joint hypothesis that is linear in the coefficients and imposes a number of restrictions can be written as a. $\left( \boldsymbol { X } ^ { \prime } \boldsymbol { X } \right) ^ { - 1 } \boldsymbol { X } ^ { \prime } \boldsymbol { Y }$.
b. $\boldsymbol { R } \boldsymbol { \beta } = \boldsymbol { r }$.
c. $\hat { \beta } - \beta$.
d. $\boldsymbol { R } \boldsymbol { \beta } = \mathbf { 0 }$.

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The Answer of A joint hypothesis that is linear in the coefficients and imposes a number of restrictions can be written as a. $\left( \boldsymbol { X } ^ { \prime } \boldsymbol { X } \right) ^ { - 1 } \boldsymbol { X } ^ { \prime } \boldsymbol { Y }$.
b. $\boldsymbol { R } \boldsymbol { \beta } = \boldsymbol { r }$.
c. $\hat { \beta } - \beta$.
d. $\boldsymbol { R } \boldsymbol { \beta } = \mathbf { 0 }$.

A Joint Hypothesis That Is Linear in the Coefficients and Imposes