The Standard Error of the Regression (SER)is Defined as Follows$\frac { 1 } { n - 2 } \sum _ { i = 1 } ^ { n } \hat { u } _ { l } ^ { 2 }$

Question

Examlex · Accepted Answer

The Answer of The Standard Error of the Regression (SER)is Defined as Follows$\frac { 1 } { n - 2 } \sum _ { i = 1 } ^ { n } \hat { u } _ { l } ^ { 2 }$

The Standard Error of the Regression (SER)is Defined as Follows $\frac { 1 } { n - 2 } \sum _ { i = 1 } ^ { n } \hat { u } _ { l } ^ { 2 }$

Definitions:

The Standard Error of the Regression (SER)is Defined as Follows 1n−2∑i=1nu^l2\frac { 1 } { n - 2 } \sum _ { i = 1 } ^ { n } \hat { u } _ { l } ^ { 2 }n−21​∑i=1n​u^l2​

Definitions:

The Standard Error of the Regression (SER)is Defined as Follows $\frac { 1 } { n - 2 } \sum _ { i = 1 } ^ { n } \hat { u } _ { l } ^ { 2 }$