Psychology Wiki

Residual sum of squares

34,189pages on
this wiki
Revision as of 19:32, January 11, 2007 by Dr Joe Kiff (Talk | contribs)

(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)

Assessment | Biopsychology | Comparative | Cognitive | Developmental | Language | Individual differences | Personality | Philosophy | Social |
Methods | Statistics | Clinical | Educational | Industrial | Professional items | World psychology |

Statistics: Scientific method · Research methods · Experimental design · Undergraduate statistics courses · Statistical tests · Game theory · Decision theory

It has been suggested that this article or section be merged into Least squares. (Discuss)

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

In a standard regression model y_i = a+bx_i+\varepsilon_i\,, 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 εi.

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

This page uses Creative Commons Licensed content from Wikipedia (view authors).

Around Wikia's network

Random Wiki