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应用氟电极法对６个氟病区饮水，３０６人份尿进行氟含量测定。用三型九度法对氟斑牙患病者进行诊断。旨在探讨它们之间的质量与反应关系。结果显示：饮水含氟量与氟斑牙患病率呈正相关线性关系（ｒ＝０．９４６，Ｐ＜０．０１，方程Ｙ＝１．０１５＋０．０６７６Ｘ２），饮水含氟量与尿含氟量呈正相关，但不呈线性关系（ｒ＝０．５２６，Ｐ＞０．０５，方程Ｙ＝１．２８＋１．６０６Ｘ１）；尿含氟量与氟斑牙患病率呈平行关系（ｒ＝０．１７，Ｐ＞０．０５，方程Ｘ１＝３５．２６＋６．０８Ｘ２），三者存在着明显的质量反应关系。方程：Ｙ（饮水含氟量ｍｇ／Ｌ）：＝２．３５９＋０．６５８Ｘ２（尿含氟量ｍｇ／Ｌ）＋０．０６２２Ｘ２（氟斑牙患病率％）。通过多元回归方程与简单回归方程的比较，多元回归方程所得位计值与单一回归方程所得估计值更接近实际，更准确。因而我们认为，多元回归方程的建立，对地方性氟病的监测工作有很大的实用价值。
Fluoride electrode method was used to measure the fluoride content of 6 fluoride wards and 306 urine samples. With three nine-degree method of dental fluorosis diagnosis. Designed to explore the quality and response between them. The results showed that there was a positive linear relationship between fluoride content in drinking water and the prevalence of dental fluorosis (r = 0.946, P <0.01, equation Y = 1.015 + 0.0676X2) (R = 0.526, P> 0.05, equation Y = 1.28 + 1.606X1). The urinary fluoride content showed a parallel relationship with the prevalence of dental fluorosis (r = 0. 17, P> 0.05, the equation X1 = 35.26 + 6.08X2), there is a clear mass reaction between the three. Equation: Y (drinking water fluoride content mg / L): = 2.359 + 0.658X2 (urinary fluorine content mg / L) + 0.0622X2 (dental fluorosis prevalence%). By comparing the multivariate regression equation with the simple regression equation, the multivariate regression equation is more accurate and accurate than the one obtained from the single regression equation. Therefore, we think that the establishment of multivariate regression equation has great practical value for the monitoring of endemic fluorosis.