Linear correlation analysis indicated that those patients whose living satisfaction degree was low were prone to athymia, anxietas, interpersonal relationship sensitiveness and somatization symptom.
线性相关分析表明，生活满意度较低的患者容易出现失语症，焦虑症，人际关系敏感性和躯体化症状。
The correlation test was undertaken with the linear correlation analysis.
相关性检验用直线相关分析。
Univariate linear correlation analysis was used for comparison among the variables.
变量间采用单因素直线相关分析。
Methods Self control design, significance test and linear correlation analysis were used.
方法采用自身对照设计、显著性检验和直线相关分析等方法。
The t test was applied in the intergroup comparison. Linear correlation analysis was used.
组间比较采用t检验，采用直线相关分析。
Linear correlation analysis showed that the gastric perception threshold decreased in concordance with the increase of degranulation of 5-ht-positive cells.
直线相关分析显示，5 - HT阳性细胞释放介质越多，胃感知阈值越低。
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。
Linear correlation analysis showed that the reduce of erythrocyte membrane fluidity had correlation with the change of lipid compositions of erythrocyte membrane.
直线相关分析显示，红细胞膜流动性降低与红细胞膜脂质成分改变有明显相关性。
In order to overcome the problem of linear correlation and information loss, and could provide a new ways of non-linear correlation analysis in different traits for operator.
为了克服以往的相关性指标所存在的线性相关性和信息损失的问题，以期为实际应用工作提供一种新的多变量间的非线性相关分析方法。
With the methods of linear analysis and correlation analysis, the tendency rate of the ground temperature for about 50 years in Puyang and the causes are analyzed.
利用线性分析方法和相关分析方法，分析了濮阳近50年地面温度的变化倾向率及成因。
Correlation program was programmed with MATLAB to realize its linear regressive analysis.
并用MATLAB语言编制相关程序，实现其线性回归分析。
The collected data analyzed by descriptive statistics, factor analysis, correlation analysis, linear regression analysis of analysis of statistical methods, such as finishing.
所得资料以叙述统计分析、因素分析、相关分析、直线回归分析等统计方法进行分析整理。
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。
As principal component analysis mainly use the linear correlation of the data, we propose a nonlinear principal component analysis method, by combining the mercer kernel function with it.
主成分分析方法主要利用数据的线性相关性来降维，并不适合非线性相关的情况。
In this paper, the methods of obtaining parameters for high levels of correlation are presented with emphasis on linear system analysis.
对得到较高水平的相关性参数的方法——统计矩分析及线性系统分析进行了论述，着重论述了卷积法在相关性研究中的应用。
Result shows that the method is effective to discriminate linear and nonlinear correlation characteristics in a comparatively long data series, and suitable for analysis of complex ocean data.
结果表明，在数据资料较长时，该方法能有效判定数据序列的线性、非线性相关特征，特别适合于复杂的海洋数据资料分析。
As a new type of algorithm, locality preserving canonical correlation analysis (LPCCA) can solve a large number of non-linear problems.
局部保持的典型相关分析(LPCCA)是一种能够解决大量非线性问题的新型算法。
It is known by the analysis and comparison of so many ratio schemes that among them exist the relations of linear function, nonlinear function and correlation.
分析众多的比值方案可知，它们之间有着线性、非线性函数关系及不同程度的相关关系。
Among dependency analysis methods, the traditional linear correlation coefficient can only describe the linear dependencies between variables.
相依性分析方法中，传统的线性相关系数只能描述变量间的线性相依关系。
Dependence analysis is widely developed. Dependence measures, including linear correlation coefficient and concordance measure, are traditional methods.
相关性分析是应用极为广泛的方法。相关性度量，包括线性相关系数和和谐性相关性度量是传统方法。
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 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 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。
In order to get the model of environmental acoustic effect in a room, assuming the model is linear and recognizing the impulse response of the model using correlation analysis method.
为了获得室内环境声效的模型，假定该模型为线性并采用相关分析法辨识室内的脉冲响应。
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 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。
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。
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