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。
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。
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 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。
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 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 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。
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 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。
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