定义并实例化响应变量。
回归式反映了响应变量和预测变量间的线性关系。
Regression expression reflects the linear relation between responding variable and predictive variable.
用来衡量回归模型中可以解释的响应变量间的变动量。
It measures the amount of variation in the response data that is not explained by the predictors in the regression model.
对于经典回归分析模型来说，人们一般都是假定其响应变量为连续型变量。
Regarding the classical models of regression analysis, people generally assume that its response variable is the continual variable.
在响应变量随机缺失时，研究了半参数变系数模型响应变量均值的借补估计。
We develop imputation estimators of mean of responses for semiparametric varying-coefficient model with response variables missing at random.
分位数回归是给定 回归变量X，估计响应变量Y条件分位数的一个基本方法。
Quantile regression is a basic tool for estimating conditional quantiles of a response variable Y given a vector of regressors X.
在可交换条件下，当响应变量为多维时，利用结构回归模型研究总体平均处理效应的估计。
In this paper, on the basis of structural regression models the estimation of the population-averaged treatment effects is given when the response variable is a multi-dimensional vector.
接下来展现了响应变量与预测变量之间的散点图，分析散点图，得到了响应变量与预测变量之间的直观联系。
Next, showing and analyzing the residual plot of the response variables and predictor variables, obtain a visual link between the response variables and the predictor variables.
接下来展现了响应变量与预测变量之间的散点图，分析散点图，得到了响应变量与预测变量之间的直观联系。
Next, showing and analyzing the residual plot of the response variables and predictor variables, obtain a visual link between the response variables and the predictor variables.
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