How do we think about how well our sample regression line fits our sample data?
我们怎样衡量我们的样本回归线拟合样本数据有多好呢？
Regression software programs graph the sample points and give the (cost-function) formula of the straight line that best fits the points.
回归软件程序将样本点用图表示，并且给出最拟合样本点的直线的价值函数公式。
In general, sample data in regression analysis often contain noise.
在回归分析中，样本数据通常含有噪声。
In practical work, new sample data is often obtained continually, so these new data can be joined the empirical equation of regression by using recursive formula, and form a dynamic forecast system.
在实际工作中，往往会不断得到新样品数据，可利用递推公式不断地把新信息加入到经验回归方程中去，以构成一个动态的预测系统。
The presented method is more accurate for using polynomial regression of theoretical calculated data as sample off-line and is quicker for the reason of its fixed polynomial pattern on-line.
该方法以有限个理论计算数据为样本，采用多项式函数离线进行回归，在保证高的逼近精度的前提下，以显著提高在线计算速度为目的。
Our research shows that when sample size is greater than 50, the least square estimate of regression coefficiencies has high estimate precision.
结果表明，当样本大小大于50时，回归系数的最小二乘估计具有较高的估计精度；
Based on the analyzing of costs sample of equipment, set up prediction model of economic life of equipment, considering the middle-linear regression method and period value of costs.
通过对设备费用样本的分析，采用了中间线性回归方法和考虑了货币的时间价值，建立了符合缺省数据费用样本的设备经济寿命预测模型。
This paper presents beef freshness spline regression model according to beef sample, and carries out regression analysis for this model.
针对牛肉样本建立了牛肉新鲜度样条回归模型，并对该模型进行了回归分析。
Cross-validation of foreign N-EX regression model with the present sample results in higher SE1 values, which shows N-EX regression model is not fit for domestic people.
本研究样本交叉核实国外预测最大摄氧量N-EX回归模型，SE1值较高，说明国外预测最大摄氧量N-EX回归模型不适合我国人群。
In this model, a logistic regression function is induced from multiple decision trees, which are built based on different training sample sets respectively.
该模型通过对使用多个样本集分别训练出的多棵决策树预测函数进行逻辑回归来得到最终的预测函数。
So, this paper will use China a share listed companies' 2003, 2004 and 2006 data as sample, and use regression model, to analyze the effect of managerial ownership in two different methods.
所以，本文以2003年、2004年和2006年中国A股上市公司为样本，采用回归模型，从两个方面研究高管持股效果。
The QSAR model was built with the multiple linear step regression method, and it was tested for the stability with other sample compounds.
采用多元逐步回归法建立了揭示模型线性关系的QSAR模型，对模型进行稳定性检验，并采用样本集外的化合物对所建立的QSAR模型进行预测；
As showed the curve regression equations of tree height-age relations matched the sample data nicely and reflected the trees' grown process nicely.
这表明，筛选拟合的树高——年龄导向曲线回归方程很好地拟合了样本资料，很好地反映了树高的生长过程。
The sample classification method provided is adaptable to multivariate parameters regression analysis of various fields.
给出的样本分类方法对各种领域多元参数回归应用具有重要意义。
The missing data were analysed with sample selection model and compared with traditional linear regression model.
应用样本选择模型对模拟数据进行分析，并与传统线性回归模型进行比较。
Changing variable, set up a regression model, take regression analyse using sample data.
选择变量，建立回归模型，代入样本数据进行回归分析。
Table 2 contains results for the logistic regression analyses to examine the effects of VC backing on the use of equity incentives for all employees within the sample.
表2包罗逻辑回归阐发效果对支出的影响，利用VC支持的股权鼓励对全体员工的内部的样品。
The meaning of symbolic regression is that we are searching for a function that closely matches an unknown expression based on a finite set of sample data, in order to analyze and forecast data.
符号回归的含义是找出一个符号形式的数学公式，以指定的精度拟合相关变量的有限样本，以便于分析和预测。
Then it builds a model by partial least squares regression on the obtained sample space.
在相对合理的样本空间中采用偏最小二乘回归建立模型。
Support vector machine is a new technique of data mining, which is regarded as the best theory aimed at solving the problem of classification and regression of small sample pool at present.
支持向量机是数据挖掘的一项新技术，被认为是目前针对小样本的分类、回归等问题的最佳理论。
Computational results of two sample data demonstrate that the regression level from the results of maximum entropy model is better than those of other two methods at the same manifestation level.
而且通过两个例子的计算结果，表明该方法与样本数据的拟合效果要好于其它两种方法。
To obtain sample space used to establish the nonlinear regression model, the FEM simulation tests were arranged with the methods of orthogonal and random experimental design.
基于正交和随机方法安排了有限元仿真试验，获得了用于非线性电磁建模的样本空间。
Support vector machine (SVM) is an effective method for resolving regression problem, however, traditional SVM is very sensitive to noises and outliers in the training sample.
支持向量机(SVM)是解决回归问题的一种有效的方法，但传统的支持向量机对样本中的噪声和孤立点非常敏感。
This article first consider data of Chinese listed company in 2005-2008 years as sample data to make a regression analysis about which factors are the major factors on the impact of cash holdings.
本文首先以我国上市公司2005- 2008年的数据为样本对影响我国上市公司现金持有的主要因素进行了实证分析。
This article first consider data of Chinese listed company in 2005-2008 years as sample data to make a regression analysis about which factors are the major factors on the impact of cash holdings.
本文首先以我国上市公司2005- 2008年的数据为样本对影响我国上市公司现金持有的主要因素进行了实证分析。
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