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在分析化学上,两变量呈线性或经变量变换后呈线性关系的场合极为普遍。运用回归分析,不仅可提高数据处理的精度,而且能提供多方面的资料。本文将介绍回归直线的主要内容,包括:相关回归、五个基本数及重要回归参数、回归线的显著性检验、回归各参量的估计值、回归线中y与x的互换问题、两种分析方法所得结果的一致性检验、两条回归直线的比饺和回归分析计算技巧等八个问题。并列举四种类型的应用实例,内容包括:工作曲线、寻找新的分析方法、检验分析方法的一致性、总结实验结果并从中发现新规律。
In analytical chemistry, the two variables are linear or transformed by a variable linear relationship after the occasion is extremely common. Using regression analysis, not only can improve the accuracy of data processing, but also provide a wide range of information. This article will introduce the main contents of the regression line, including: related regression, five basic numbers and important regression parameters, significant test of regression lines, regression estimates of each parameter, regression line y and x of the exchange problem, two analytical methods The consistency of the results obtained test, two regression straight line dumplings and regression analysis and calculation skills eight questions. And lists four types of application examples, including: working curve, looking for new analytical methods, test the consistency of analytical methods, summarize the experimental results and to discover new laws.