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In statistics, explained variation measures the proportion to which a mathematical model accounts for the variation (dispersion) of a given data set. Often, variation is quantified as variance; then, the more specific term explained variance can be used. The complementary part of the total variation is called unexplained or residual variation.

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  • In statistics, explained variation measures the proportion to which a mathematical model accounts for the variation (dispersion) of a given data set. Often, variation is quantified as variance; then, the more specific term explained variance can be used. The complementary part of the total variation is called unexplained or residual variation. (en)
  • 可解释变异(英語:explained variation)在统计学中是指给定数据中的变异能被数学模型所解释的部分。通常会用方差来量化变异,故又称为可解释方差(explained variance)。 除可解釋变异外,总变异的剩余部分被称为未解释变异(unexplained variation)或残差(residual)。 线性回归中的决定系数即为可解释变异占总变异的比率。 (zh)
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  • In statistics, explained variation measures the proportion to which a mathematical model accounts for the variation (dispersion) of a given data set. Often, variation is quantified as variance; then, the more specific term explained variance can be used. The complementary part of the total variation is called unexplained or residual variation. (en)
  • 可解释变异(英語:explained variation)在统计学中是指给定数据中的变异能被数学模型所解释的部分。通常会用方差来量化变异,故又称为可解释方差(explained variance)。 除可解釋变异外,总变异的剩余部分被称为未解释变异(unexplained variation)或残差(residual)。 线性回归中的决定系数即为可解释变异占总变异的比率。 (zh)
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  • Explained variation (en)
  • 可解释变异 (zh)
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