当它们之间的相关程度很高，就会产生统计学家称为多元共线的问题。
If there is a high level of correlation between them, we have a problem that statisticians call multicolinearity .
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.
采用多元统计典型相关分析方法研究了烤烟各类中性致香成分与香气质、香气量的关系。
The relationship between neutral aroma components and quality of aroma and concentration of aroma in flue-cured tobacco were analyzed with canonical correlation in multiple statistics analysis.
区域化探资料处理主要是进行数据预处理、背景分析、相关场分析、多元统计分析等。
It is the region geochemistry pretreatment to pretreat the originality data and to analyze the background and correlation filed and statistics data.
根据野外观测资料及气象站观测的气象因子，利用多元统计方法，建立了各可燃物类型地表可燃物含水率与其相关的气象因子之间的回归模型。
According to the measurement of dead fuel moistures and meterological factors in field, by the means of multi-factors statistics, the models of dead fuel moisture were developed.
方法应用直线相关回归、逐步多元回归和协方差分析等统计学方法分析暂时性听阈位移与听阈、噪声强度、工龄、年龄等因素之间的关系。
Method Statistical methods of linear regression, multiple stepwised regression, two-way ANOVA were used to analysis the relation of TTS with audition, noise level, working-year and age.
本研究综合运用了文献分析法、描述性统计分析、多元回归分析和相关性分析等多种方法。
The study utilizes four means such as literature analysis, description statistic analysis, multivariable linear regression analysis, correlation 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 empirical study part contains assumptions, description of statistical analysis, parameter testing of single-factor analysis of variance, correlation and multiple linear regression analysis.
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.
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.
采用多元统计分析，对春石斛兰花42个栽培种21个主要性状进行了形态变异、性状相关和主成分分析。
The 21 traits of 42 cultivators in Dendrobium nobile were studied by morphological variance and correlation and principal component analyses.
采用多元统计分析，对春石斛兰花42个栽培种21个主要性状进行了形态变异、性状相关和主成分分析。
The 21 traits of 42 cultivators in Dendrobium nobile were studied by morphological variance and correlation and principal component analyses.
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