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在分析实验室中为数不少的测定方法需要用检量线来求得欲测成份的含量,其过程大致是:在测定试样的同时对一组标准进行测定,然后以标准数据在直角座标平面上绘制检量线,最后查出欲测定成份的含量,这种实验数据的作图处理法至今普遍被人们所采用。其优点是比较直观且不需要特殊的设备。缺点则是劳动强度较大,其准确度受座标分度、描点以及绘曲线等诸因素的影响,容易引入主观误差。 根据回归分析的原理得知;具有函数关系的变量可以用最小二乘法确定的回归方程来表达它们之间的关系,且该方程所表达的数值与所有观测点数
In the analytical laboratory a large number of determination methods need to use the calibration curve to determine the content of the ingredients to be measured, the process is roughly: the determination of a sample at the same time a set of standards were measured, and then standard data in the right-angle seat Draw the calibration curve on the standard plane, and finally detect the content of the components to be measured. The mapping method for this experimental data has been widely adopted by people so far. Its advantage is more intuitive and does not require special equipment. The disadvantage is the greater labor intensity, the accuracy of coordinate indexing, drawing point and the curve and other factors, the introduction of subjective errors easily. According to the principle of regression analysis, variables with functional relationships can be expressed by regression equations determined by the least-squares method, and the values expressed by this equation are related to all observation points