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Residual Plot Visualizer

Residual Plot Visualizer

Check regression model assumptions and fit quality

Predicted values from regression

Actual observed values

Y - Predicted Y values

Residual Plot Interpretation

Good Residual Patterns

  • • Random scatter around zero
  • • Constant variance (homoscedasticity)
  • • No obvious patterns or trends
  • • Roughly normal distribution

Warning Signs

  • • Curved patterns (non-linearity)
  • • Funnel shape (heteroscedasticity)
  • • Outliers or extreme values
  • • Skewed residual distribution