Using a standard analysis approach, the overlapping portion of variance is included in the overall summary statistics of the relationship of the set of IVS to the DV, but that portion is not assigned to either of the IVs as part of their individual contribution.

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In standard analysis approaches like multiple regression, the overlapping variance among independent variables (IVs) is accounted for in the model's overall variance explained in the dependent variable (DV), but it is not attributed to any specific IV, to avoid double counting the shared variance.

Using a Standard Analysis Approach, the Overlapping Portion of Variance