Explained variation refers to the portion of the total variation in a dataset that can be attributed to a specific model or statistical relationship among variables. In other words, it measures how much of the variability in a dependent variable can be explained by one or more independent variables. In the context of regression analysis, for example, explained variation can be quantified through the coefficient of determination, commonly denoted as \( R^2 \).
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