A residual is the difference between an observed value and a predicted value in a regression model. It is calculated as:
Residual = Observed value – Predicted value
This calculator finds the residuals for each observation in a simple linear regression model.
Simply enter a list of values for a predictor variable and a response variable in the boxes below, then click the “Calculate” button:
Predictor values:
Response values:
Linear Regression Equation:
ŷ = 5.6631 + (1.4802)*x
List of Residuals:
-0.143
-3.104
1.896
-0.064
1.975
-0.906
1.133
-0.787