Análise acerca da previsão da demanda por produção de soja no Brasil

Abstract

With increasing levels of production, products from the countryside behave as an activity that can be estimated through demand forecasting methods. Therefore, the present documentary study aimed to analyze the adherence of the linear regression model, in comparison with the estimated value of soybean production with the real produced in the first six months of 2018. In the case studied, it was noted that, Due to external factors, soybean production reached levels below those predicted by the linear regression model, which explains the divergence between the observations. Even considering the acceptable standard deviation in the forecast errors, the projected data are close to the real practiced from January to June 2018, that is, the model adherence was close to the predicted.