Are you Analyzing regression model accuracy? Enter the observed and predicted values, and our SSE Calculator Tool will calculate the sum of squared errors.
SSE Calculator
SSE Calculator
Component | Description |
---|---|
Observed Values (y) | The actual values observed in the data set. |
Predicted Values (ŷ) | The values predicted by the regression model. |
Sum of Squared Errors (SSE) | The sum of the squared differences between the observed values and the predicted values. |
Formula | SSE = Σ(y - ŷ)² |
Purpose | Used to measure the total deviation of the observed values from the predicted values, aiding in evaluating the accuracy of a regression model. |