Analysis of influencing factors of grain yield based on multiple linear regression

Food security is a strategic issue affecting economic development and social stability agriculture has always been at the forefront of national development. As large agricultural country with population, production grain great importance to China. Therefore, in order ensure food assist administrative department making scientific effective decisions, it significant study law variance make accurate forecasting its trend. This paper constructs stepwise regression model principal component analyse influencing factors yield respectively compares these two models terms their accuracy prediction. After conducting regressions, this concludes that both explain ideally, but from aspect prediction, more than linear regression.