According to the definition of general regression model, the conditional distribution of the outcome variable Y depends on X only through a linear combination β'X, where β is the regression coefficient vector of the model. 一般回归模型的定义中,应变量y在自变量x给定之下的分布只依赖于x之分量的线性组合。这个线性组合的系数向量β就是回归系数向量。
Then, it introduced the actual applications in linear regression and relation analysis of experiment data. Such as calculating slop of line, correlation coefficient, and so on. 其次介绍其在实验数据的线性回归和相关性分析方面的应用实例,如求回归直线斜率、Y轴截距和求X、Y两组数据的相关系数等;
Compared with ordinary least squares method, quintile regression model not only do not need to make any assumptions on the overall distribution, but also describe the independent variable X for the dependent variable Y range accurately, catch the tail characteristics of the distribution. 与普通最小二乘法相比,分位回归模型不仅不需要对总体分布做任何假设,而且能精确地描述自变量X对于因变量Y的变化范围,捕捉分布上尾和下尾的特征。