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2011•Journal of Shandong Jianzhu UniversityRequires access

Prediction model of peanut production in Rizhao

Peng Bing Zhao

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Abstract

According to the meteorological data provided by Meteorological Bureau of Rizhao City in Shandong Province and the peanut production provided by Agriculture Bureau of Rizhao City in Shandong Province,the SPSS software is used to analyze the partial correlation coefficient of the meteorological factors and peanut yield,some important meteorological factors which affect the peanut production are found.The stepwise regression analysis method is used to establish the linear regression model and a gray prediction model GM(1,N) based on meteorological factors to predict the peanut production.

About this research paper

What this paper is about

According to the meteorological data provided by Meteorological Bureau of Rizhao City in Shandong Province and the peanut production provided by Agriculture Bureau of Rizhao City in Shandong Province,the SPSS software is used to analyze the partial correlation coefficient of the meteorological factors and peanut yield,some important meteorological factors which affect the peanut production are found.The stepwise regression analysis method is used to establish the linear regression model and a gray prediction model GM(1,N) based on meteorological factors to predict the peanut production.

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Available abstract

According to the meteorological data provided by Meteorological Bureau of Rizhao City in Shandong Province and the peanut production provided by Agriculture Bureau of Rizhao City in Shandong Province,the SPSS software is used to analyze the partial correlation coefficient of the meteorological factors and peanut yield,some important meteorological factors which affect the peanut production are found.The stepwise regression analysis method is used to establish the linear regression model and a gray prediction model GM(1,N) based on meteorological factors to predict the peanut production.

Key concepts: Regression analysis, Linear regression, Production (economics), Meteorology, Agriculture, Yield (engineering), Stepwise regression, Environmental science

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