Linear Regression Analysis of Gross Output Value of Farming,Forestry, Animal Husbandry and Fishery Industries
This paper applies software SPSS to analyze 1999-2009 relevant statistics of China agriculture industry promulgated by National Bureau of Statistics of China, trying to establish a Dualistic Linearity Regression Model to calculate the effect of the total agricultural machinery dynamic and total corps planting area in the total output of farming, forestry, animal husbandry and fishery industries, but the results indicate that the independence total corps planting area doesnt pass the significance test. So the paper chooses stepwise method to do the regression again, and the software eliminates independence total corps planting area, and works out a one-dimensional linear regression model. The article aims at finding out the factors that significantly influence the total output of farming, forestry, animal husbandry and fishery industries, and what degree they impact, hence, to put forward advices for practices of farming, forestry, animal husbandry and fishery industries.
SPSS Linear regression analysis Total output of farming Forestry Animal husbandry and fishery industries
Liu Haime Chen Yun
School of Management, Wuhan University of Technology, Wuhan, P.R.China, 430070
国际会议
The 8th International Conference on Innovation and Management(第八届创新与管理国际会议 ICIM 2011)
日本福冈
英文
1106-1111
2011-11-30（万方平台首次上网日期，不代表论文的发表时间）