The residuals are observations of the error variable . Consequently, the minimized sum of squared deviations is called the sum of squares for error.

Question

The residuals are observations of the error variable  . Consequently, the minimized sum of squared deviations is called the sum of squares for error.

Quizplus · Accepted Answer

This statement is true. Residuals are the differences between the observed values and the predicted values, which represent the error. The sum of squared residuals is minimized in regression analysis, and this minimized value is called the sum of squares for error.

The Residuals Are Observations of the Error Variable