Skip to content
Qalc AI
Residual Calculator
Calculate residuals, SSE, and visualize errors.
Data Points
X, Actual Y, Predicted Y (comma sep per line)
1, 2, 2.1 2, 4, 3.9 3, 6, 6.2 4, 8, 7.8 5, 10, 10.1
Error Analysis
SSE
0.1100
Sum Sq. Errors
MSE
0.0220
Mean Sq. Error
RMSE
0.1483
Mean Residual
-0.0200
Ideally ~0
Residual Plot (X vs Residual)
Overview
A residual is the difference between the observed value and the estimated value of the quantity of interest (Residual = Actual - Predicted).
💡
Pro Tips
Enter data as: X, Observed, Predicted. Example: 1, 5, 5.2
!
Fun Facts
"The sum of residuals in a simple linear regression (OLS) is always zero."
"Analysis of residuals is used to validate regression models (homoscedasticity, normality)."
Used with this
Similar tools that might be useful
Abtest
Absolute Uncertainty
Adjusted Rsquared
