*Choose Index below for a list of all words and phrases defined in this glossary.*

**Residual **- A residual is the difference between the actual Y output value and the Y output value predicted by the regression equation. The residuals in a regression model can be analyzed to reveal inadequacies in the model. *Also called* **errors**

[Category=Data Quality ]

*Source: iSixSigma, 20 February 2011 11:24:55, http://www.isixsigma.com/index.php?option=com_glossary *

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**residual** - [statistics] In a regression model, the difference between the observed Y value and the predicted Y value; the unexplained portion of the dependent variable. Predicted values rarely match observed values exactly. The residual is one measure of model fit. Large residuals indicate poor model fit.

[Category=Geospatial ]

*Source: esri, 03 August 2012 08:18:08, http://support.esri.com/en/knowledgebase/GISDictionary/term/abbreviation *

Data Quality Glossary. A free resource from GRC Data Intelligence. For comments, questions or feedback: dqglossary@grcdi.nl