ANÁLISE DA MOVIMENTAÇÃO AEROPORTUÁRIA DA INFRAERO ENTRE OS ANOS DE 2012 E 2016 ATRAVÉS DA REGRESSÃO LINEAR MÚLTIPLA

Abstract

The growing necessity for precision in the most diverse design areas has increased the importance of a more accurate and reliable forecasting. The airport sector is an example of better data searching, taking into account that its volume depends on many marketing factors. The forecasting of civil aviation demand seek to predict airport requests based on its own historic data and on economic and social indicators. This work has as goal propose predictive models based on four economic factors through the use of the multiple linear regression technique. These, in turn, were based on INFRAERO airports data from 2012 and 2016. Formulas and coefficients that describe the results obtained and explain them through the analysis of the database used during the procedure were proposed.