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Establishment of Prediction Model on Year Occurrence Degree of Aphis gossipii in North Xinjiang with SPSS Stepwise Regression Analysis

Zheng Liu

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Abstract

According to the historical meteorological data of 12 a(1995-2005 and 2007) of Kuitun reclamation area in north Xinjiang,the relationship between year occurrence of Aphis gossipii and meteorological factors was studied by SPSS stepwise regression analysis method,and the prediction model on year occurrence degree of A.gossipii was established.The back-judge and pre-judge on 12 a investigation data was conducted with the established model,the accuracy was 100%.

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What this paper is about

According to the historical meteorological data of 12 a(1995-2005 and 2007) of Kuitun reclamation area in north Xinjiang,the relationship between year occurrence of Aphis gossipii and meteorological factors was studied by SPSS stepwise regression analysis method,and the prediction model on year occurrence degree of A.gossipii was established.The back-judge and pre-judge on 12 a investigation data was conducted with the established model,the accuracy was 100%.

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Available abstract

According to the historical meteorological data of 12 a(1995-2005 and 2007) of Kuitun reclamation area in north Xinjiang,the relationship between year occurrence of Aphis gossipii and meteorological factors was studied by SPSS stepwise regression analysis method,and the prediction model on year occurrence degree of A.gossipii was established.The back-judge and pre-judge on 12 a investigation data was conducted with the established model,the accuracy was 100%.

Key concepts: Stepwise regression, Regression analysis, Statistics, Degree (music), Aphis, Geography, Mathematics, Environmental science

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