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Data & Analytics · Intermediate

Residual

The difference between an observed value and the value predicted by a model (y - ŷ).

Definition

Residual plots diagnose model problems: patterns indicate nonlinearity, and funnel shapes indicate heteroscedasticity. Least squares minimizes the sum of squared residuals.

Exam tip

A random scatter of residuals around zero indicates a good linear fit.

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