variabilityresidual
Residual variability refers to the variation in a dependent variable that cannot be explained by the independent variables included in a statistical model. It represents the error or random fluctuation that remains after accounting for the systematic effects of the predictors. In simpler terms, it's the part of the outcome that the model didn't predict.
This unexplained variation is often attributed to unmeasured factors, random chance, or inherent noise in the
Statistical models aim to minimize residual variability. A good model will have a low residual variance, indicating