A Regression and Correlation Analysis Resulted in the Following Information

Multiple Choice

A regression and correlation analysis resulted in the following information regarding a dependent variable (y) and an independent variable (x) . $$\begin{array} { l l } \Sigma x = 90 & \sum \left( y - \frac { y } { ) } \right) ( x - x ) = 466 \\\Sigma y = 170 & \Sigma ( x - ) ^ { 2 } = 234 \\n = 10 & \Sigma \left( y - y ^ { 2 } = 1434 \right. \\\mathrm { SSE } = 505.98 &\end{array}$$ The least squares estimate of the slope or b₁ equals

A) .923.
B) 1.991.
C) -1.991.
D) -.923.