The Following Information Regarding a Dependent Variable Y and an Independent

Multiple Choice

The following information regarding a dependent variable y and an independent variable x is provided: $$\begin{array} { l l } \Sigma x = 90 & \sum \left( y - \frac { y } { ) } \right) ( x - x ) = - 156 \\\Sigma y = 340 & \Sigma \left( x - \frac { x } { 2 } \right) ^ { 2 } = 234 \\n = 4 & \sum ( y - y ) ^ { 2 } = 1974 \\\mathrm { SSR } = 104 &\end{array}$$ The sum of squares due to error (SSE) is

A) -156.
B) 234.
C) 1870.
D) 1974.