A Regression and Correlation Analysis Resulted in the Following Information

question 4

Multiple Choice

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

• A) 1434.
• B) 505.98.
• C) 50.598.
• D) 928.02.

---

Definitions:

Constitution

The fundamental principles or established precedents according to which a state or other organization is governed.

Electoral College Votes

The process in the United States by which electors from each state cast votes to determine the President and Vice-President.

House of Representatives

The lower chamber of the United States Congress, composed of elected officials who represent individual districts in their states.

Presidential Candidate

An individual who is running for the office of president in a country, typically representing a political party or an independent campaign, and participating in elections to win the position.