Ensuring homogeneity of variance (homoscedasticity) is often considered a key assumption in linear regression. But is it really that important? 🤔
The plot below visually demonstrates how heteroscedasticity can manifest in residuals. Ideally, the reference line (in green) should remain flat and horizontal, indicating homogeneity of variance.
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