低浓度样品测定时回归曲线中截距的处理

Processing of the Regression Curve Intercept When Calculating the Low Concentration

截距对低浓度样品计算却影响甚大,尤其是当样品浓度接近空白浓度时,用线性回归方程计算时会出现偏差。通过计算统计量判定回归曲线是否过原点、计算容许值判定离群值是否异常及通过Origin的线性拟合功能强制过原点,可以有效避免因线性拟合过程中导致的计算误差,从而保证低浓度样品测定结果的准确性。

Intercept impact on the low concentration sample calculation is very large. Deviation usually occur when using lin？ear regression equation calculation,especially when the sample concentration is close to the blank concentration. To ensure the accuracy of the low concentration sample determination results,we can determine regression curve pass the Origin whether or not by calculating statistics,determine outliers is nomal or not by calculating permissible value .