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multiple regression analysis相关的网络例句

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与 multiple regression analysis 相关的网络例句 [注:此内容来源于网络,仅供参考]

The outstanding characteristic of PLS is that it can make the multiple linear regression analysis, the principal components analysis and the canonical correlation analysis combined. In the same arithmetic, it can implement modeling, predigesting the data structure and analyzing of the correlation between two gropes of variables at the same time. It brings huge advantage to the multiple linear regression analysis.

PLS的一个突出特点是将多元线性回归分析、变量的主成分分析和变量间的典型相关分析有机地结合起来,在一个算法下,同时实现了回归建模、数据结构简化和两组变量间的相关分析,给多元数据分析带来极大的便利。

The program of AER+RES was similar to AER, but went through resistance exercise 20min in base section of every exercise trail.Result: Prior to intervention, adiponectin levels were significantly correlated with BMI、 WHR、 COS、 LN、 LN、 TG、 LG10、 LN、 weight、 waist、 FM、%F, and leptin levels were significantly correlated with BMI、 WHR 、 LN 、 LN 、 TG 、 HDL-C 、 LG10、 apoB 、 apoA1/apoB、 waist、 F1M、%F. Stepwise multiple regression analysis revealed that LG10; COS and waist was an predictor of basal adiponectin levels , and %F,apoB and WHR was an predictor of basal leptin levels. In early obesity, adiponectin and leptin can be worsened , along with the changed of body component, fasting plasm glucose and lipid accumulation. After intervention, both group were significantly reduction in FM,%F,weight, WHR,FPG and TG, while HDL-C had significantly increased.AER exhibited significant in leptin, while AER+RES did not show the change. Insulin and HOMA-IR were changed in both groups. The control group exhibited no significant change in any variables. Although adiponectin levels were unchanged in the three groups, a significant negativecorrelation between delta %F, delta WHR and delta FPG was observed. Futhermore, if compare the degree of delta weight, we fought a significant increased in adiponectin between the group of delta weight higher (=3kg) than delta weight lower(=0kg), delta %F, delta WHR and delta weight were significant negative correlation with delta leptin.

结果:绝经妇女脂联素水平与体重指数、腰臀比、空腹血糖、空腹胰岛素、LEP、TG、极低密度脂蛋白胆固醇、胰岛素抵抗指数、体重、腰围、体脂含量、体脂百分比显著相关;瘦素水平与BMI、WHR、FINS、LEP、TG、HDL-C、VLDL-C、载脂蛋白B、apoA1/apoB、腰围、FM、%F等指标显著相关;多元逐步回归分析显示LG10、COS和腰围是基线脂联素水平的预测变量,而%F,apoB和WHR是基线瘦素水平的预测变量;在肥胖前期,脂联素、瘦素已经出现明显不良变化,同时也伴随着体成分、空腹血糖和血脂的异常;运动实验后,两个运动组的FM、%F、体重、WHR、FPG、TG都显著下降,而HDL-C显著上升;AER组瘦素显著下降,而AER+RES组则没有显著变化;两组的胰岛素和HOMA-IR水平都有显著下降;对照组所有指标都没有明显变化;尽管运动后脂联素水平没有显著变化,但是脂联素变化量与%F、WHR和血糖变化量显著负相关,而且如果按照运动后体重下降的程度比较,则体重下降大(≥3kg)的受试者比下降小的(≤0kg)脂联素水平有明显升高;运动后瘦素水平的变化量与%F,WHR及体重的变化量显著负相关。

Methods the family environment scale manual and conners child behavioral scale were used to investigate both behavioral problems and family environment in 100 children aged from 3 to 12 years (including 50 children with asthma and 50 healthy children). the results were analyzed using multiple regression analysis.

方法采用家庭环境量表中文版和conners儿童行为问卷分别对哮喘儿童50名、正常儿童50名(3~12岁)行为问题及家庭环境进行调查,并对调查结果进行多元回归分析。

Other than descriptive and binomial variable analyses, associated factors influencing perception and willingness of preceptors to guide new staff nurses were investigated by multiple regression analysis.

除描述性分析及双变项分析外,并运用复回归分析探讨影响护理临床教师指导新进人员之认知与意愿及其相关因素。

Aimed at the problems, the improvement measures of extracting the modes of drilling speed and operating life of the bit from field data by multiple regression analysis, then, turning the selection index actual value into the corrected...

根据本方法对江汉油田部分地区的钻头使用资料进行计算分析,结果表明,选型结果是合理的,本方法是可行的,文中对钻头选型和钻井参数优选的配合,以及岩石可钻性用于钻头选型等问题也作了一些探讨。

This Research adopted the empirical approach of study, collecting the building construction projects, such as schools, hospitals, airports, substations, official buildings, parking lots, dwelling and living quarter with the projected budget over NT$50 million from Ministry of Education, Ministry of Transportation and Communications, Ministry of Economic Affairs, Department of Health, Construction and Planning Agency, National Police Agency, Department of Rapid Transit System, City Governments and County Governments.The study uses survey through questionnaires, and adopting Eviews software to do the "Multiple-Regression-Analysis", in order to know the significant factors that influence owner's overall satisfaction, so as to provide the government to promote the quality of public building construction.

本研究采用共搜集教育部、交通部、经济部、卫生署、营建署、警政署、捷运局、县市政府等部会,包括学校、医院、航空站、变电所、办公大楼、停车场、住宅、宿舍等自采购法实施以来迄95年底前完工,工程经费在5000万元以上之公共建筑工程,藉由文献回顾及专家访谈,初步获得业主整体满意度影响因子,再以公共建筑工程业主为主要研究对象,藉问卷调查方式,搜集影响业主整体满意度之问卷资料后,采用计量分析软体Eviews进行复回归分析,建构出公共建筑工程业主整体满意度影响模式,并探讨各项影响指标之显著性,以反映出公共工程业主之需求,期望能提供相关单位未来应用时之参考,提升公共建筑工程品质。

Focus on the multiple regression analysis on the spot welding process modeling.

重点介绍了基于多元回归分析的点焊过程建模。

An experiment was conducted using the bond stress of the anchor agent, the corrosion degree of the screw spike and the eccentricity as the variables to test the withdraw resistance of the screw spike. The multiple regression analysis shows that three main factors have influence on the anchor withdraw resistance of the screw spike.

同时,以锚固剂的结合应力、螺纹道钉的锈蚀程度和偏心度等3个因素为变量对轨道螺纹道钉抗拔力进行实验,采用多元回归分析的方法对实验数据进行计算分析。

It with the stockholders rights structure target, the company governs the structure target to carry on the multiple regression analysis The result show that the connection between the expropriations by the controlling shareholder with the proportion of controlling shareholder is a reversal'U', the expropriation by the controlling shareholder is significantly negative related with the shares of the second shareholder, the first major stockholders as the state-owned enterprise holding must be more easier than the non-state-owned enterprise holding to invade behavior and the expropriation by the controlling shareholder is significantly negative related with the independent trustee proportion.

数据结果表明,控股股东和上市公司之间的关联交易规模与控股股东持股比例呈显著的正相关关系,控股股东持股比例与上市公司的经营性资金被占用率呈倒&U&型关系;第二大股东对于抑制控股股东与上市公司之间的关联交易规模具有一定的作用;当控股股东为国有企业控股时要比非国有企业控股更容易发生大股东侵占行为。

Descriptive statistics, T test, analysis of variance, Scheffe's post hoc comparison, multiple regression, stepwise regression analysis and path analysis were used to analyze the data.

采用描述性统计分析、t检定、单因子变异数分析、Scheffe事后多重相关、多元回归、逐步回归与路径分析进行资料分析。

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