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回归模型的几个例子可以是.
Few examples of regression models can be.
回归模型也会发生类似的情况。
A similar case happens with regression models.
它一直这样做,直到适合回归模型
It keeps doing this until the regression model is fitted.
空间似不相关回归模型(SUR.
Seemingly unrelated regression(SUR) models.
线性回归模型将尝试绘制直线拟合数据.
A linear regression model will try to draw a straight line to fit the data.
第3章双变量回归模型:估计问题.
Two-variable regression model: the problem of estimation.
线性回归模型有一种特殊的形式。
A linear regression model follows a very particular form.
线性回归模型的最后一步是找出RMSE。
The last step in the linear regression model is to find out the RMSE.
它比逻辑回归模型具有更高的精度。
Had a higher accuracy than the linear single regression model.
人工神经网络方法较回归模型预测误差较小。
The artificial neural network method has less prediction error than the regression model.
回归模型使用数学方程式来确定变量之间的关系。
Regression models use a mathematical equation to determine the relationship between variables.
首先,我们有自回归模型AR(p)。
At first, we have the autoregression model AR(p.
有许多方法可以测量线性回归模型的准确性。
There are many ways to measure the accuracy of a linear regression model.
分类结果变量将排除使用回归模型或ANOVA模型。
A categorical result variable would rule out the usage of an ANOVA model or a regression model..
分类结果变量将排除使用回归模型或ANOVA模型。
A categorical outcome variable would rule out the use of either a regression model or an ANOVA model..
回归模型包括线性回归和非线性回归。
Regression analysis includes linear regression and non-linear regression..
计算回归方程并选择最合适的回归模型.
Compute the regression equation and determine the most appropriate regression model.
这样的模型被称为多元线性回归模型
Such kind of model is known as a multivariate or multiple linear regression model.
建立回归模型.
Create the regression model.
训练回归模型.
Training the Regression Model.