· Linear regression y = a + b·x; outputs slope, intercept, R-squared, residual standard deviation and back-calculated concentration of each point.

· R-squared reflects linearity; points with large residuals may be outlying calibration points. For formal method-validation linearity, refer to residual analysis / standard requirements.

· Used to evaluate working-curve linearity for physico-chemical / instrumental testing and calibration laboratories.