| 基于逐步回归分析的河南粮食产量因素研究 |
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| 引用本文： | 吕海燕,李海旺,李武林.基于逐步回归分析的河南粮食产量因素研究[J].河南科学,2013(12):2133-2136. |
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| 作者姓名： | 吕海燕 李海旺 李武林 |
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| 作者单位： | [1]河南农业大学信息与管理科学学院,郑州450046 [2]河南工业大学粮油食品学院,郑州450001 |
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| 基金项目： | 河南省教育厅科学技术研究重点项目（128210010）：河南农业大学博士科研启动基金（30300165） |
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| 摘 要： | 运用逐步回归分析的方法，建立河南省粮食产量的回归模型，并对影响粮食产量的主要因素进行回归分析．引入回归方程的主要影响因素为粮食单产、农业机械总动力、乡村从业人员、化肥施用折纯量、农村用电量等，由此确定影响河南省粮食产量因素的回归方程模型．分析表明，利用逐步回归分析建立的模型具有很好的拟合效果，最大误差仅为12．5％．
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| 关 键 词： | 逐步回归分析 河南省 粮食产量 影响因素 |
The Factors of Grain Production Based on the Stepwise Regression in Henan Province |
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| Lv Haiyan,Li Haiwang,Li Wulin.The Factors of Grain Production Based on the Stepwise Regression in Henan Province[J].Henan Science,2013(12):2133-2136. |
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| Authors: | Lv Haiyan Li Haiwang Li Wulin |
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| Affiliation: | 1 (1. College of Information and Management, Henan Agriculture University, Zhengzhou 450046, China Grain and Food College, Henan University of Technology, Zhengzhou 450001, China) |
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| Abstract: | Using regression analysis method, we establish the regression model of grain yield in Henan Province, and make a regression analysis of the main factors that affect the grain production. The main influencing factors we introduce into the regression equation are grain yield per unit area, total power of agricultural machine,rural practitioners,quantity of pure in applying chemical fertilizer, consumption of electricity in rural area and so on. Thus we can get the regression equation model of the factors that influence the grain yield of Henan. The analysis shows that the model we establish has a good fitting effects, the maximum error is only 12.5 percent. |
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| Keywords: | stepwise regression analysis Henan Province~ grain yield~ influencing factors |
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