本系列研究了简单线性回归分析的两个应用。
This series has studied two applications of simple linear regression analysis.
回归分析的F检验值达极显著水平。
The F inspection value was extremely remarkable by regression analysis.
研究方法：事件研究法和回归分析。
在回归分析中，样本数据通常含有噪声。
In general, sample data in regression analysis often contain noise.
通过回归分析进一步得到这种影响程度。
Through regression analysis to get it's influence extent further.
建立了百分回归分析理论。
A theory of percent regression analysis is established in this paper.
多元回归分析法是其中的一种重要方法。
算法基于回归分析且维数低，因此十分简单。
The algorithm is based on the regression analysis and is very simple.
同时也用传统统计方法回归分析进行了计算。
回归分析法是市场分析预测法中常用的方法。
Regression analysis is a common way of market analysis prediction.
然后通过回归分析检验了品牌信任的中介效应。
Next USES multiple regression analysis to test the mediator effect of brand trust.
对实验数据的回归分析结果与此关系符合的很好。
The regression analysis of experimental data was shown to well correspond to the relationship.
值得注意的是“受教育水平”在多重序数回归分析中是得到控制的。
Note that education is controlled for in the ordinal multiple regression analysis.
回归分析得出了该气幕式排风罩有效控制距离的计算式。
Obtains a regression formula for predicting the effective control distance of the hood.
然后，通过问卷调查收集数据，进行回归分析，验证模型。
Then, this paper continues to testify the model by regression analysis.
在问卷的分析方法上，采用常用的相关分析和回归分析法。
As for analytical approach, we apply correlation analysis and regression analysis.
实验数据的回归分析表明，试验结果与理论分析基本一致。
The regression equation of experimental data agrees well with theoretical equation.
并对试验结果运用偏最小二乘法与残差分析进行回归分析。
The test result was analysed with Partial Least Square and Residual analyse.
回归分析表明光照、温度是影响芍药光合作用的最重要因素。
Temperature and light intensity are the most important factors in the culture.
本研究所用的数据分析方法为积差相关和一元线性回归分析。
We hope the two questions can be answered in a positive way by SPSS analysis.
提出了建立面向计划装置模型比较合适的方法是回归分析方法；
More suitable method establishing unit model orientating planning is regression analysis.
文章对利率平价模型进行简单回归分析，以验证利率平价在我国是否成立。
At first, we make Regression Analysis on the model of interest-rate-parity.
回归诊断是现代统计分析的重要组成部分。
Regression diagnosis is an important part of modern statistics analysis.
最后本文使用DEA模型、回归模型对上述理论分析进行了验证。
Finally, we used the DEA model, regression model to verify the theoretical analysis.
讨论设计矩阵列降秩时，线性回归模型的影响分析。
The influence of linear model with deficient - rank is discussed.
第五章回归结论的分析。
并与切削力系数的幂函数回归模型进行了比较分析。
The polynomial model is compared with the power function model.
并与切削力系数的幂函数回归模型进行了比较分析。
The polynomial model is compared with the power function model.
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