Six Sigma Black Belt Exam Prep

Answer: A - The differences between actual data points and predicted ones are referred to as residuals.

Key Takeaway: Residuals are the differences between actual data points and predicted ones. Predicted data points or responses are usually derived from a predictive model such as that developed from a simple regression model. The larger residuals are, the less likely that the predictive model provides accurate predictions of values.