The residuals are observations of the error variable $\varepsilon$
.Consequently,the minimized sum of squared deviations is called the sum of squared error,labeled SSE.

Question

The residuals are observations of the error variable $\varepsilon$ 
.Consequently,the minimized sum of squared deviations is called the sum of squared error,labeled SSE.

Quizplus · Accepted Answer

Residuals are estimates of the error term $\varepsilon$ in a regression model, and the sum of squared residuals is often referred to as the sum of squared errors (SSE).

The Residuals Are Observations of the Error Variable ε\varepsilonε Consequently,the Minimized Sum of Squared Deviations Is Called the Sum

The Residuals Are Observations of the Error Variable $\varepsilon$ Consequently,the Minimized Sum of Squared Deviations Is Called the Sum