This series has studied two applications of simple linear regression analysis.
本系列研究了简单线性回归分析的两个应用。
Methods Analyses of data were conducted by means of linear regression analysis and stepwise linear regression analysis.
方法采用线性回归、逐步线性回归分析等的方法对数据进行分析。
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。
The superiority of the classical least square method is lost due to the morbid of designed matrix in large-type linear regression analysis.
在大型线性回归分析中，由于设计矩阵的病态使得经典的最小二乘法失去了优良性。
Based on the regression analysis, binary linear regression equation related to fire and weather factors has been established.
应用回归分析，建立了火灾与气象因素的二元线性回归方程，给出了方程的剩余标准差，对方程的精度进行了检验。
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。
Objective: To compare cluster regression analysis with multiple linear regression.
目的：聚类回归与多元线性回归分析方法的比较。
In this research we verify the hypotheses by multiple linear regression, analysis of variance, factor analysis and correlation analysis.
第五章对研究的结果进行了分析，本次研究主要采取方差分析、相关分析。
The collected data analyzed by descriptive statistics, factor analysis, correlation analysis, linear regression analysis of analysis of statistical methods, such as finishing.
所得资料以叙述统计分析、因素分析、相关分析、直线回归分析等统计方法进行分析整理。
The parameter estimation method is multiple linear regression analysis.
参数估计法采用多元线性回归分析法。
Linear regression analysis is one technique for estimation a line of best fit.
线形回归分析是一向估算最优拟和线的技术。
This paper has talked about how to forecast capital requirement by way of percentage of sales method, factor analysis, capital character forecast and linear regression analysis.
运用定量预测法中的销售百分比法、因素分析法以及资金习性预测法下的高低点法和线性回归分析法等方法预测资金需要量。
Through feed pump performance tests and the linear regression analysis of test results, the regression equation was established, thus can predicate the fuel flow accurately.
通过输油泵性能测试，对试验数据应用线性回归方法分析，确定回归方程，对输油泵流量进行预测。
And based on this, a simple method for performance prediction by using linear regression analysis is put forward.
在此基础上提出了应用线性回归分析进行动态预测的简便方法。
Linear regression analysis is a most common method for mid term load forecasting.
线性回归是电力系统中期负荷预测的常用方法。
The multiple linear regression analysis is applied to single-point precipitation titration for the determination of various component of halide and thiocyanate.
本文将多元线性回归分析用于单点沉淀滴定法，同时测定了卤素及硫氰酸盐混合物各组分浓度。
The analysis method includes linear regression and principle component analysis.
分析方法包括趋势分析、主分量分析。
In this article, we discuss the interrelations between the various hygienic evaluation targets in market by means of linear regression analysis and differential equation model.
本文采用线性回归分析结合微分方程模型，讨论了商场各项卫生指标相互依赖的关系。
Method According to the theory of detecting outliers in linear regression analysis, the measured value of the samples in quality control was processed by EXCEL.
方法根据直线回归分析中“诊断异常点”的理论，通过计算机EXCEL软件对实验所获得的质控品测定值进行统计学处理。
The multifactor linear regression analysis showed that the number of CD8 + cells was significantly negatively correlated to the disease course .
多元线性回归结果：抑郁症患者血中CD8+细胞数与病程呈非常显著负相关。
The result of linear regression analysis was meaningful for agricultural-purpose, other pesticides in male and pasture-purpose in female.
线性回归分析显示男性与农业用途和其它种类、女性与畜牧业用途的农药使用密度存在线性依存关系。
Methods of local linear regression, analysis of regression and hypothesis testing were employed.
研究方法：局部线性回归、回归分析和假设检验。
Chapter II briefly introduce the linear regression analysis theory and methods of calculation.
第二章简要介绍线性回归分析的相关理论和计算方法。
Evidences include some of the major multi-variable tests, a single variable t tests, trend analysis and multiple linear regression analysis.
实证部分主要包括多变量检验、单变量t检验、趋势图分析以及多元线性回归分析等。
The study found that the interaction between subunit 2and subunit 12 by correlation analysis and multiple linear regression analysis.
同时经相关性分析和回归分析发现亚基2和亚基12之间存在相互作用，亚基2影响亚基12对氮素的响应。
On the basis of a lot of experimental datas, experimental mathematical models of electric spark forming of several sorts of materials are built up with multiple linear regression analysis.
在大量实验数据的基础上，采用最小二乘法建立了实用的多种材料电加工实验数学模型。
In the data analysis, theoretical assumptions and model was tested through Descriptive Statistical analysis, ANOVA, Bivariate Correlations analysis, and Linear Regression analysis and so on.
采用描述性统计分析、单因素方差分析、相关分析、回归分析等统计分析方法对调查数据进行分析，对理论假设和模型进行验证。
Thus, by using linear regression analysis, the linear equation about friction coefficient and BPT could be obtained, and validate it with correlation texts.
采用线性回归分析方法，回归出摩擦系数与摆值的一元线性方程，并对其进行验证。
Thus, by using linear regression analysis, the linear equation about friction coefficient and BPT could be obtained, and validate it with correlation texts.
采用线性回归分析方法，回归出摩擦系数与摆值的一元线性方程，并对其进行验证。
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