The Residual Calculator computes the difference between each observed value and its corresponding predicted value. Residuals are crucial for evaluating the accuracy of regression models, identifying patterns that suggest poor model fit, and spotting outliers. A residual close to zero indicates that the predicted value is very close to the observed value, while larger residuals indicate greater deviations.