| 1. | In this lecture we introduce the multiple regression
在本次课中，我们介绍了多元回归。 |
| 2. | Nonlinear multiple regression analysis based on neural network
非线性多元回归分析的神经网络方法 |
| 3. | Data were analyzed using multiple regression and canonical correlation
所收集资料以统计方法分析进行资料处理。 |
| 4. | Multiple regression equation
多元回归方程 |
| 5. | Application comparison between multiple regression and grey relational mathematical model
多元回归与灰关联数学模型应用之比较 |
| 6. | The multiple regression model is the most widely used vehicle for empirical analysis
多元回归模型是实证分析中最广泛使用的工具。 |
| 7. | Linear and multiple regression , curvilinear regression and stepwise regression are included
包括多元线性回归、曲线回归以及逐步回归模型。 |
| 8. | Application of multiple regression analysis to platen temperature field of electrical press
多元回归分析在电热式平板硫化机热板温度场中的应用 |
| 9. | Multiple regression analyses on psychological health levels in junior school graduates admitted senior schools
中考生心理健康水平的多因素回归分析 |
| 10. | Multiple regression models can accommodate many explanatory variables that may be correlated
多元回归模型能容许很多解释变量，而这些变量可以是相关的。 |
