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In statistics, the **residual sum of squares (RSS)** is the sum of squares of residuals.

In a standard regression model , where *a* and *b* are coefficients, *y* and *x* are the regressand and the regressor, respectively, and ε is the error term. The sum of squares of residuals is the sum of squares of estimates of ε_{i}.

In general: total sum of squares = explained sum of squares + **residual sum of squares**.

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