方法将15 5例OSAHS患者的各项身体测量参数和多导睡眠图（PSG）检测参数进行多元线性回归与相关分析。
Methods The measured body parameters and polysomnography(PSG)parameters of 155 patients with OSAHS entered into multiple linear regression analysis to correlate with apnea hyponea index (AHI).
多元线性回归模型分析显示：血清tc水平与累积噪声剂量呈正相关，与高温级别呈负相关。
The multiple liner regression model indicated that serum TC level was significantly associated with accumulative noise dose, but negative associate with scale of hot environment.
多元线性回归结果：抑郁症患者血中CD8+细胞数与病程呈非常显著负相关。
The multifactor linear regression analysis showed that the number of CD8 + cells was significantly negatively correlated to the disease course .
本文论述多元线性回归中的回归系数与偏相关系数之间的数量关系以及它们的统计意义。
This paper deals with the quantitative relations between regression coefficients and partial correlation coefficients in multivariate linear regression, and their statistical meanings.
在分析数据的基础上，选择了相关遥感因子和定性因子，并通过一系列模型的检验与修正，建立了公顷蓄积量估测的最优多元线性回归模型。
Based on the analysing of the data, selected relevant factors, made a series of tests and amendments with models, then created forest volume estimation optimal multivariate linear regression model.
拟合方差与回归系数标准偏差存在明显的相关关系。线性模型能解释的方差越大，回归系数标准偏差越小。
It is found that the more the variance explained by the linear model, the smaller the standard deviation of regression coefficient.
与公差指数、软化度呈极显著正相关。 依回归模型分别分析了硬度与角质率、出粉率、沉淀和评价值之间的线性关系。
The hardness linear relationship with grain vitreousness, flour yield, sedimentation value, valorimeter value was respectively analysed on the regression model.
采用分析与图解相结合的方法解决多因子非线性相关计算，求回归方程问题。
Analysis associated with plotting methods to search for the regression equation of the correlated multi-factor was presented in the paper.
结果城市化水平与耕地面积之间存在着极强的负相关关系，并建立了二者之间的线性回归模型。
Results There is reverse correlation between the urbanization and cultivated land area, then forming the linear equation.
对4元素的测定时，吸光度与浓度之间呈良好线性关系，所求得的线性回归方程及其相关系数可作佐证。
Good linearity were obtained for all the 4 elements, as shown by their regression equations and correlation coefficients.
线性回归分析显示：两组IMT与血浆LPA含量呈正相关。
Linear regression analysis showed that: IMT and plasma LPA content of the two groups was positively correlated.
通过多元线性回归，得出气象因子与液流速率呈极显著相关，相关系数均在0.795以上。
Though multiple regression analysis, it was showed that the correlation between SAP velocity and Meteorological Factors was highly significant and its coefficient of correlation was more than 0.795.
利用回归分析得出纵、横波速度与孔隙度、泥质含量线性相关。
The regression analysis shows that the velocities are liner relationship related to porosity and clay content. Using such regression formula to sonic logging data indic…
利用回归分析得出纵、横波速度与孔隙度、泥质含量线性相关。
The regression analysis shows that the velocities are liner relationship related to porosity and clay content. Using such regression formula to sonic logging data indic…
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