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《Science & Technology for Development》 2019-03
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Influencing Factors Analysis of Grain Planting Area Based on Multiple Regression and Grey Correlation

ZHANG Peijun;YANG Youshe;School of Science, Xijing University;  
This paper selects some variables to build mathematical models about planting area of wheat and corn in Shaanxi province by using multiple regression method. The result from this model shows that there is a linear relationship between planting area and chosen variables. And those selected variables are: the agricultural labor that have influence on the cereal planting area, the food import and export trade, the education background of farmers, the income gap between urban and rural area and family burden. Then, influence degree of those variables to planting area will be calculated by means of gray correlation analyzing method. The result from this model is the same as its from multiple regression model and also demonstrates it is able to beranked. That is, those variables are proper and reasonable to be selected and analyzed in the paper.
【Fund】: 国家自然科学基金天元数学访问学者项目(11726624):混沌系统的分析与控制 负责人:王震;; 陕西省科技厅自然科学基础研究计划项目(2016JM1024):非Shilnikov意义下的混沌系统计算分析与控制研究 负责人:王震
【CateGory Index】: F326.11
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