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Regression validation
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<p>In <a href="/facts/Statistics/DNPsKGYU">statistics</a>, regression validation is the process of deciding whether the numerical results quantifying hypothesized relationships between variables, obtained from <a href="/facts/Regression_analysis/n6z5Tf7K">regression analysis</a>, are acceptable as descriptions of the data. The validation process can involve analyzing the <a href="/facts/Goodness_of_fit/qlTfUIfS">goodness of fit</a> of the regression, analyzing whether the <a href="/facts/Residual_(statistics)/Ef0LgAS4">regression residuals</a> are random, and checking whether the model's predictive performance deteriorates substantially when applied to data that were not used in model estimation. </p>