simple regression

英 [ˈsɪmpl rɪˈɡreʃn]

美 [ˈsɪmpl rɪˈɡreʃn]

网络  简单回归; 一元回归; 简单回归分析; 单回归

英英释义

noun

• the relation between selected values of x and observed values of y (from which the most probable value of y can be predicted for any value of x)
  Synonym:regressionregression toward the meanstatistical regression

双语例句

• In addition, a simple linear regression analysis is also performed to understand the underlying factors that affect container freight rates.
  最后，本文还进行了一个简单的线性回归分析帮助探究影响集装箱运价基本因素。
• After conducting a simple regression we found that there is a positive and strong relationship between the average daily returns with standard deviation and VaR as risk indicators.
  进行简单回归分析之后，本研究发现在每日平均报酬、标准差与VaR作为风险指标之间存在着正向且强烈的关系。
• There are many complicated factors influencing the quantity of cultivated land, so a simple regression analysis can not achieve a satisfactory model.
  影响耕地数量变化的因素错综复杂，简单的回归分析不易得到满意的模型结果。
• ANOVA and simple regression analysis were used to measure three variables across four brands, four collaboration combinations and each of four brands independently.
  方差分析和回归分析被用来衡量三个变量，并适用于三个不同的层次，包括：四个品牌、四个合作组合和独立的四个品牌三个变量。
• Meanwhile, through introducing the transport services 'intra-industry index and revealed competitive advantage index, the quantitative analysis is carried out to analysis the influence of transport services' intra-industry trade to its international competitiveness, using simple regression and multiple regression.
  与此同时，本文引入了运输服务业的产业内贸易指数和显示性竞争优势指数，运用一元回归和多元回归的方法，从定量角度分析了我国运输服务业产业内贸易对其国际竞争力的影响。
• Discussion on simple regression of residential environment
  论人居环境的简约回归
• Not only the strain distribution of the elastic cell can be obtained and the positions of maximum strain fields can be determined, but also the simple linear regression equation of force and strain can be obtained and the linearity of the transducer can be analyzed.
  用此法不仅可以得到弹性元件的应变分布特性，确定最大应变区的位置，而且可以得到力与应变的一元线性回归方程，分析出传感器的线性度。
• Then, we may calculate actual figures of storage life for the product. This article shows five data analysis methods, which are simple linear regression, exponential regression, weighted exponential regression, polynomial regression ( method of least squares) and grey theory.
  本文采用一元线性回归、指数回归、加权指数回归、多项式回归（最小二乘法）和灰色理论等五种分析方法分别对五种试验数据进行了拟合与预测。
• A simple polynomial regression for experimental data shows that main flow velocity and perforation flow velocity are main factors resulting in mixture loss under given conditions.
  实验数据的回归结果表明，在本实验条件下，主流流速和孔眼流速是造成混合损失的主要因素。
• Application of Microsoft Excel to Quantitative Geography Teaching& A Case Study of Simple Linear Regression
  Excel在计量地理学教学中的应用&以简单线性回归分析为例