One way to look for answers is by conducting a multivariate regression analysis.2
有一种找到答案的方法就是使用多元回归分析。
The incidence of loss to follow-up was calculated using Kaplan–Meier methods and factors associated with loss to follow-up were identified by logistic and Cox multivariate regression analysis.
追踪损失发生率利用Kaplan -Meier方法加以计算，而追踪损失的相关因素则利用logistic回归分析和Cox多元回归分析加以确定。
Multivariate regression analysis is employed to predict the prices of mechanical and electric products according to historical prices.
依据历史价格，利用多元回归分析的方法预测机电产品的价格。
By using multivariate linear regression analysis, the mathematical model to classify and evaluate reservoir with well logging data was established.
通过多元线性回归分析，建立了用多种测井信息划分、评价储层的数学模型。
Appling the method of mathematical regression analysis, one multivariate regression equation are given out.
用数学回归的方法推导出了一个多元回归方程。
By constructing multivariate regression model, the paper analyzes whether the share structure of the fund management company influences its funds performance.
本文通过构建多元回归模型，研究基金管理公司股权结构对其所辖基金的绩效所产生的影响。
The data were treated with univariate and multivariate analysis of variance, multiple linear regression analysis and t test.
数据处理方法包括单因素多变量方差分析、多因素线性回归分析和t检验。
A method, combination of grey-system theory with multivariate regression linear analysis, was used to predict the output of municipal solid waste (MSW).
将灰色系统理论与多元线性回归分析方法相结合，是研究城市生活垃圾产量预测的一种改进方法。
The paper discuss socioeconomic drive mechanism of land use change in Qianguo County by using the multivariate regression analysis method and the principal component analysis method.
运用多元回归分析法和主成分分析法，讨论了前郭县土地利用变化的社会经济驱动机制。
Objective To explore the application of marginal regression models on multivariate correlation analysis in medical research.
目的探讨边际回归模型在医学研究领域多变量相关分析中的应用。
Then the corresponding multivariate linear regression equations are established.
并建立相应的多元线性回归方程。
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。
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.
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。
Methods Univariate analysis and multivariate regression were performed on data of 117 patients with lupus nephritis, with the physicians global assessment of disease activity as the external criteria.
方法以临床医师的判断作为疾病活动程度的外部标准，对117例狼疮性肾炎患者的资料进行单因素相关分析和多元回归分析。
Multivariate regression study shows depression, subjective support and phobia are the key factors to influence the quality of life of hysteria patients.
多元逐步回归分析发现：影响癔症生活质量的因素是抑郁、主观支持、恐怖。
Nonloss storage experiments were performed to a cryogenic vessel filled with liquid nitrogen, and a multivariate linearity regression analysis and check to the experimental data was also done.
对一低温容器利用液氮为介质进行了多次无损贮存实验，利用多元线性回归方法对实验数据进行分析和检验。
This paper USES multivariate regression model to investigate the IPO underpricing in the H-shares market.
文章通过多元回归模型考察了H股IPO抑价的影响因素。
We combine unitary nonlinear regression with multivariate linear regression, it can reduce the error sum of squares of the model and improve the precision of forecast.
即把一元非线性回归和多元线性回归结合起来，构造一个混合回归模型，这样就减小了模型的残差平方和，从而提高预报的准确性。
Fig. 2 Multivariate regression tree for associations classification.
图2群丛分类多元回归树。
We have build the multivariate orthogonal polynomial regression forecasting model of the economical effect on winter wheat production.
采用多元正交多项式回归方法建立了冬小麦生产经济收益预测的多元正交多项式回归模型。
Use the multivariate regression to do the small-scale empirical research on the 50 valid samples.
使用多变量回归对50个有效样本进行了小规模的实证研究。
Risk factors for surgical site infection were determined with univariate analyses and multivariate logistic regression.
我们进行了案例对照研究来确定脊柱外科手术部位感染的危险因素。
Multivariate stepwise logistic regression showed that age, CH were significant factors for carotid artery arteriosclerosis in cerebral stroke patients.
对多元逐步回归分析显示：年龄、总胆固醇是引起脑梗塞患者颈动脉硬化的主要危险因素。
Multivariate analysis revealed that the drop in LDL-C and increase in HDL-C both independently predicted atheroma regression.
多变量分析显示LDL - C水平的降低以及HDL - C水平的增加各自都能改善动脉粥样硬化。
Based on this, forecast model for slope stability was studied by multivariate linear regression and BP neural network methods, and the results were compared with those by limit equilibrium method.
在此基础上，分别运用多元线性回归和BP神经网络方法研究边坡稳定性预测模型，并将其结果与极限平衡分析方法进行对比。
Based on this, forecast model for slope stability was studied by multivariate linear regression and BP neural network methods, and the results were compared with those by limit equilibrium method.
在此基础上，分别运用多元线性回归和BP神经网络方法研究边坡稳定性预测模型，并将其结果与极限平衡分析方法进行对比。
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