FORECASTING MODELS OF NON-SCHEDULED PASSENGER AIR TRANSPORTATION THROUGH REGRESSION ANALYSIS
Keywords:
non-scheduled passenger air transportation, forecasting models, regression analysis, linear regression, non-linear regression, polynomial regression, statistical analysisAbstract
In the article, forecast models developed through regression analysis for non-scheduled passenger air transportation and the effectiveness of calculation results obtained based on these models were investigated based on theoretical and practical analyses. In order to ensure optimality when developing forecast models for non-scheduled passenger air transportation, data analysis was carried out based on the interaction of linear and non-linear methods and the integration of the mentioned transportation was studied. Comparisons between linear and polynomial regressions were made using statistical parameters. It was found to be more accurate and generalizable for forecasting the volume of non-scheduled passenger air transportation.
