Residual Calculator

Calculate the residual (prediction error) for an observation from its actual and predicted values.

Residual (e)

1.5000

Absolute Residual1.5000
Squared Residual2.2500

Residual (e) vs Actual Value (y)

सूत्र देखें →

सूत्र

## Regression Residuals A residual is the difference between an observed value and its predicted value from the regression model. Residuals are the foundation for assessing model fit and detecting problems. ### Formula **e_i = y_i - y-hat_i** Positive residuals mean the model under-predicted; negative residuals mean over-prediction. In a well-fitting model, residuals should be randomly scattered around zero with no patterns.

हल किया गया उदाहरण

An observation with actual y = 25 and predicted y-hat = 23.5.

  1. 01Residual = 25 - 23.5 = 1.5
  2. 02The model under-predicted by 1.5 units.
  3. 03Squared residual = 1.5² = 2.25