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- Regression_model_validation abstract "In statistics, regression model validation is the process of deciding whether the numerical results quantifying hypothesized relationships between variables, obtained from regression analysis, are in fact acceptable as descriptions of the data. The validation process can involve analyzing the goodness of fit of the regression, analyzing whether the regression residuals are random, and checking whether the model's predictive performance deteriorates substantially when applied to data that were not used in model estimation.".
- Regression_model_validation wikiPageExternalLink handbook.
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- Regression_model_validation subject Category:Regression_analysis.
- Regression_model_validation subject Category:Regression_diagnostics.
- Regression_model_validation subject Category:Statistical_inference.
- Regression_model_validation subject Category:Statistical_models.
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- Regression_model_validation comment "In statistics, regression model validation is the process of deciding whether the numerical results quantifying hypothesized relationships between variables, obtained from regression analysis, are in fact acceptable as descriptions of the data.".
- Regression_model_validation label "Regression model validation".
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