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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.

This page uses content from the English-language version of Wikipedia. The original article was at Residual sum of squares. The list of authors can be seen in the page history. As with Psychology Wiki, the text of Wikipedia is available under the GNU Free Documentation License.