This paper deals with the quantitative relations between regression coefficients and partial correlation coefficients in multivariate linear regression, and their statistical meanings.
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。
Multiple linear correlation analysis and related analysis were performed to set up the linear regression equation for the association of the factors with BP.
应用多元直线相关分析和相关分析，建立直线回归方程，考察各因素与血压的相关性。
The relation between normal liver volume measured by CT and body surface area (BSA) was studied by linear regression and correlation method, the standard liver volume formula was deduced.
使用直线相关和回归的方法研究正常人群肝脏体积与体表面积的关系，得出相应的回归方程。
The linear correlation regression equation of fetal weight, CR length and fertilization age were set up.
建立了体重、顶臀长与胎龄的直线相关回归方程。
Me have analysed some of the parameters with linear regression and found a linear correlation in them.
并且对若干参数作了直线回归运算，发现它们有线性关系。
In this research we verify the hypotheses by multiple linear regression, analysis of variance, factor analysis and correlation analysis.
第五章对研究的结果进行了分析，本次研究主要采取方差分析、相关分析。
The overlapping chromatographic peaks are resolved by linear regression method, and the concentration of each component is determined. The correlation coefficients are less than 0.960.
应用线性回归法对重叠色谱峰进行处理，确定了重叠峰中各组分的浓度，相关系数不小于0.960。
By regression analysis, the correlation between the content of the crude protein and the soluble material int the fermented feed indicated linear relation.
经回归分析发酵后饲料中可溶性物质含量与粗蛋白含量呈线性关系。
The empirical study part contains assumptions, description of statistical analysis, parameter testing of single-factor analysis of variance, correlation and multiple linear regression analysis.
在实证部分，提出假设，进行描述行统计分析、参数检验分析、单因素方差分析、相关性分析和多元线性回归分析。
Thus, by using linear regression analysis, the linear equation about friction coefficient and BPT could be obtained, and validate it with correlation texts.
采用线性回归分析方法，回归出摩擦系数与摆值的一元线性方程，并对其进行验证。
The statistical methods used were t-test, correlation analysis, variance analysis and multiple linear regression.
研究中采用了t检验、相关性分析、方差分析、多元线性回归等统计分析方法。
The linear correlation and the stepwise regression methods were used to analyze the cause of formation of the characteristics of the nitrogen pollution.
运用线性相关和逐步回归等方法，分析氮素污染特征的成因。
The study found that the interaction between subunit 2and subunit 12 by correlation analysis and multiple linear regression analysis.
同时经相关性分析和回归分析发现亚基2和亚基12之间存在相互作用，亚基2影响亚基12对氮素的响应。
For chilled beef and peanut, the linear regression equations between the concentration of specific hydrocarbons and dose were built with the correlation coefficient R2 more than 0.99.
分别以冷却牛肉和花生为样品，建立了辐解形成的标识性碳氢化合物浓度-剂量线性回归方程，相关系数r2达到0.99以上。
The data collected were described and analyzed with statistical description, t-test, analysis of variance, linear correlation and multiple linear regression.
对所收集的数据，进行统计描述、t检验、多因素方差分析、相关分析和逐步多元回归分析。
The data collected were described and analyzed with statistical description, t-test, analysis of variance, linear correlation and multiple linear regression.
对所收集的数据，进行统计描述、t检验、多因素方差分析、相关分析和逐步多元回归分析。
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