建立一个包含这些因子的垃圾产量的多元线性回归分析预测模型，并对2004～2010年的垃圾产量进行预测。
The output from 2004 to 2010 was predicted by means of a multivariate regression linear model, including the factors. The results show the model with a higher precision and the better practicability.
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。
By using multivariate linear regression analysis, the mathematical model to classify and evaluate reservoir with well logging data was established.
利用回归分析法，建立一元线性回归处理的数学模型和多元线性回归处理的数学模型。
With regression analysis, a mathematics model of both simple linear and multiple linear regressions were established.
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。
A method, combination of grey-system theory with multivariate regression linear analysis, was used to predict the output of municipal solid waste (MSW).
比较两组间相关危险因素的差别，并对这些危险因素进行单因素相关分析和多元逐步线性回归分析。
We compared the differences of the risk factors between these two groups, and analyzed them by simple correlation and multiple stepwise regressions.
本文采用多元线性回归分析的方法，对我国上市公司审计收费影响因素进行了研究。
This paper analyzes the influencing factors of audit fees by multiple linearity regression in order to provide some meaningful advices to supervising department.
多元线性逐步回归分析显示脉压、收缩压、服药依从性是IMT的重要影响因素。
Multivariant linear stepwise regression analysis show that the pulse pressure, the systolic pressure , overdose compliance are important influencing factors of IMT.
多元线性回归和相关分析显示眼球轴长增加是单纯性近视眼形成的主要因素。
Multiple linear regression and correlative analysis showed that the increase in optic axis was main factor for the formation of simple myopia of teenager.
以摩擦系数的变化量为目标，利用多元线性回归技术进行数据分析，通过SAS软件得到多元回归方程。
A multi regress equation of the friction coefficients was achieved by SAS, in which multi linearity regress mechanic to analyze data is used.
方法：运用多元线性回归分析，确定不同因素对患者满意度的影响大小。
Method:The Multiple Linear Regression was used to study the influence of different factors.
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。
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.
最后，利用方差分析和多元线性回归方法建立了预报日nee的线性模型。
Finally, a linear model is established to forecast diurnal NEE through variance analysis and multiple linear regression methods.
依据鄱阳湖地区1949 ~ 2002年耕地面积和社会经济统计数据，运用主成分分析和多元线性回归模型等统计方法分析该地区耕地面积变化的驱动因素。
Based on statistical data of cultivated land and social and economic factors from 1949 to 2002 in Poyang Lake region, this paper discusses the driving forces by multi-variable statistical method.
在此基础上，通过逐步回归分析确定用于高速公路事件持续时间预测的最佳变量组合并建立多元线性回归模型。
Then, stepwise regression analysis is used to select a best group of factors for the prediction of expressway incident duration, and the multiple linear regression model is established.
目的：聚类回归与多元线性回归分析方法的比较。
Objective: To compare cluster regression analysis with multiple linear regression.
用R型聚类分析、多元线性回归分析，研究了茶叶中微量香气成分与质量等级间的数理关系。
The mathematical relation was studied between micro amount of fragrant components and quality of Zhenmei tea by using R-type cluster and multiple regression.
分析了上海1995—2004年度每年垃圾产生量的数据，由此提出了可应用于城市垃圾预测的多元线性回归预测模型。
Analyzed the Shanghai for 1995 to 2004 year trash to have the quantity data every year, from this proposed might apply to the town refuse forecast many Yuan linear return forecast model.
采用二次多项式逐步回归分析法建立了三元不对称有机磷酸酯类杀虫剂的多元非线性构效关系回归模型。
Nonlinear multiple regression model on the structure activity relationship of ternary dissymmetric organic phosphate insecticide is obtained by quadratic polynomial stepwise regression method.
方法菌痢患者的直接经济负担通过问卷调查获得，间接经济负担采用人力资本法估算，运用多元线性回归模型分析疾病经济负担的影响因素。
Method Questionnaire and human capital method were used in calculation of economic burden of disease and the multi linear regression model was explored to analyze the factors.
多元线性逐步回归分析与通径分析的结果完全一致。
The results of multiple step regression analysis were the same with the results of path analysis.
本文通过单因素分析和多元线性回归分析，确定了IA／MA纯棉无甲醛DP整理的最佳工艺。
The optimum process of formaldehyde-free DP finishing on pure cotton fabrics with IA/MA is determined by analysis of single factor and multi-factor linear regression.
并利用我们编制的BASIC程序，在电子计算机上对包芯纱进行了计算与回归分析研究， 打印出了各工艺参数与各质量指标之间的多元线性回归方程。
Our BASIC program is used in the calculation and regression analysis for clw yarns, the plural linear regression equations between technical parameters and quality targets are given.
分析了氨基酸含量与其对应的密码子数之间的关系，制定了产毛性能与氨基酸之间的多元线性回归方程。
A multiple regression equation was formulated using wool producing capacity as the dependent variable and amino acid contents as independent variables.
本研究采用的统计分析方法主要有：方差分析、秩和检验、最优尺度回归分析、多元线性回归分析。
The main analysis methods are: analysis of variance, ranks test, optimal scaling regression and multiple regression.
本研究采用的统计分析方法主要有：方差分析、秩和检验、最优尺度回归分析、多元线性回归分析。
The main analysis methods are: analysis of variance, ranks test, optimal scaling regression and multiple regression.
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