Analyse the level of relationship between a dependent or criterion variable (RPK) and several independent or predictor variables (global development indicators such as GDP (current US$), GDP per capita, Population (total), Exports of goods and services (% of GDP), Imports of goods and services (% of GDP), International tourism (current US$), Air transport (passengers carried), Air transport, freight (million ton-km), Internet users) for 4 major FSNCs over the period 2012-2021.

Analyse the level of relationship between a dependent or criterion variable (RPK) and several independent or predictor variables (global development indicators such as GDP (current US$), GDP per capita, Population (total), Exports of goods and services (% of GDP), Imports of goods and services (% of GDP), International tourism (current US$), Air transport (passengers carried), Air transport, freight (million ton-km), Internet users) for 4 major FSNCs over the period 2012-2021. analyse the level of relationship between a dependent or criterion variable (RPK) and several independent or predictor variables (country development indicators such as GDP (current US$), GDP per capita, Population (total), Exports of goods and services (% of GDP), Imports of goods and services (% of GDP), International tourism (current US$), Air transport (passengers carried), Air transport, freight (million ton-km), Internet users) for 4 major FSNCs over the period 2012-2021. Forecast and compare future trends for the next 5 years (airline RPKs) for 4 major FSNCs based on econometric methods (Multiple Linear Regression).

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