回归

The result showed that the single correlation between the characters of weight and heart girth, chest width and circumference of cannon bone was significantly different. The correlation between weight and heart girth, chest width, circumference of cannon bone was highly positive correlation. Among seven regression models, the correlation index of six regression models was over 0.7, but that of 60 days was 0.452. The result suggested that selecting body weight was efficient through heart girth, body high, chest width and circumference of cannon bone.

对不同日龄各项体尺与体重建立的了回归方程，结果表明，60日龄回归模型的决定系数R~2=0.452，其它6个回归模型的相关指数均在0.7以上，其中方程1、5、6、7的相关指数都在0.9以上，表明这些回归方程中各项体尺指标与体重之间相关密切，根据胸围、管围、体高和胸宽对体重的选择都是有效的，具有一定的参考作用。

However, in some situations, models are hard to satisfy these assumptions at the same time. We meet a number of random errors with serial correlation and heteroscedasticity in practical problems. The rationality of these assumptions for random errors is doubtable. Therefore, it is necessary to test for correlation and heteroscedasticity in regression, which is an important step of dealing with regression problems and plays an important role in theory and practice.

但实际问题中，回归模型很难同时满足Gauss-Markov的三个假设，人们在实际问题中发现许多随机误差出现序列相关和方差不同的现象，因此对回归模型的随机误差的独立性和方差齐性的假设产生了质疑，从而展开了回归模型的相关性和异方差检验的研究，它是处理回归问题的重要步骤，在理论和应用上都有十分重要的意义。

This model can analyze the regression relation between covariate and log survival time, and its form and explanation of regression coefficient is close to the general linear regression equation, the explanation of analysis results is more simple, more direct and easier to understand than that of proportional hazard function model.

AFT模型研究协变量与对数生存时间之间的回归关系，模型的形式与对回归系数的解释与一般的线性回归方程相似，而对分析结果的解释则较比例风险回归模型简单、直观，更易于理解。

The stiff exchange rate regime in China before the reform of RMB exchange rate regime on July, 21, 2005 - little volatility of RMB exchange rate, the inconvertibility of RMB under the capital account are the major factors and the lack of effective historical data which are responsible for limits on the research in this regard. The real exchange rate of RMB, therefore, is chosen as the objective of this study.

首先，文章对汇率的理论研究进行了回顾，提出了使用时间序列的一元自回归模型，然后，在对实际汇率的理论研究，以及人民币实际汇率本身所具有的特点进行分析的基础上，选择使用线性自回归模型和非线性的制度转换模型中的自我激励门限自回归模型和平滑过渡自回归模型来描述实际汇率的动态行为特征。

So analyzing the main problems of the present returning persons serving sentences, finding the causes of returning persons influencing social stability and inharmoniousness, further discussing the protective basic factors, expoliring the ways and methods of fostering returning persons' adaption ability, we can prevent their committing crimes again and promote society's harmonious development.

因此，认真分析当前服刑回归人员在社会上的主要问题，找准服刑回归人员影响社会稳定与社会不和谐的原因、进一步探讨服刑人员回归社会保护所应具备的基本要件、在理论与实践上探索培养服刑人员回归社会适应能力的途径与方法，会有效预防重新犯罪、促进社会和谐发展。

This course provides:Simple linear regression and correlation,Measures of model adequacy,Multiple regression,Polynomial regression models,Variable selection and model building,Multicollinearity and Topics in the use of regression analysis.

其内容包括：简单直线回归与相关，模式正确性的衡量，复回归分析，多项式回归模式，变量的选择及模式建立，共线，回归分析应用上的注意事项等。

On the other hand, partial Least Square Regression which is called the second generation regression method has got good result in handling the multicollinearity in multilinear regression;But under some circumstances the result of such a regression is not satisfactory.

另一方面，偏最小二乘回归方法，被称为第二代回归方法，在处理线性回归中的多重共线问题时，有着较好的效果；但在有些情况下的回归结果却并不理想。

In the regression add variables and delete the variables of each step, the regression equation of the series solution of regression coefficients, and calculation of regression coefficients significant test statistic.

在逐步回归添加变量和删除变量的每一个步骤，都要解一系列的回归方程，求回归系数，计算回归系数显著性检验的统计量。

Has only one nonconstant regressor x, it is called a simple linear regression model, or two-variables regression model, or bivariate linear regression model.

等式y = b0 + b1x + u只有一个非常数回归元。我们称之为简单线性回归模型，两变量回归模型或双变量线性回归模型。

Multiple linear regression is the simplest way to build the relationship between the several explanatory variables and response variable. However, MLR often causes the estimated regression coefficients unstable or even unaccessible when the number of explanatory variables is more than that of objects. Especially, the explanatory variables are highly intercorrelated which called multi-collinear data. Therefore, many methods have been developed to analyze multi-collinear data, such as variable selection methods, ridge regression, principal components regression and partial least squares regression.

当要同时建立多个解释变数与反应变数间的关系时，最简单的方式是以复回归来处理，但是当解释变数数目远多於样本数，或者变数之间具有高度相关性时，会使得回归系数的估计变得不稳定甚至无法求得，这样的资料又称为共线性资料，在面临这样的资料时可以利用变数选取的方式降低资料组的维度，或者以脊回归、主成分回归及净最小平方回归等方法来灭种共线性的干扰。

What are your goals and strategies for growth?

你的成长目标和策略是什么？

And unto the angel of the church in Sardis write; These things saith he that hath the seven irits of God, and the seven star I know thy works, that thou hast a name that thou livest, and art dead.

3：1 你要写信给撒狄教会的使者，说，那有神的七灵和七星的，说，我知道你的行为，按名你是活的，其实是死的。