Prediction Model of Multiple Linear Regression Analysis in Grain Production

Abstract

Food production as the basis for agricultural development, forecasting and analysis of the problem of food production is necessary. In this paper, 2004-2013 years, the national food production and related indicators of food production factors, namely as dependent and independent variables studied, to determine the multicollinearity between independent variables through diagnosis; using multiple linear regression analysis prediction model and finding the predicted results with the 2014's grain output value by comparing the prediction model error is small, relatively close to the actual food value.