M22-A3 distinguishes between simple linear regression (y = mx + b) and more complex weighted regression (e.g., 1/x or 1/x²). It warns that heteroscedasticity (increasing variance at high concentrations) is common in LC. The guideline provides statistical methods (e.g., lack-of-fit F-test) to verify the calibration model.