Task instructions1. Analyze and compare revenue drivers and cost structures for FSNCs over the period 2012-2021. 2. Forecast future trend (RPK) based on global and country development indicators and key performant indicators of airlines. Task scope: Step 1. Airline key operating indicators.compare and analyze key operating indicators such as number of passengers, number of destinations (international and domestic), the fleet structure, number of code-share and interline agreements, number of aircraft landings, number of active employees and number of pilots for 4 major FSNCs over the period 2012-2021;compare and analyse key revenue drivers such as capacity (ASK and RPK), passenger yield, load factor, cargo and others (ancillary – bag fees, charge fees, catering, FFP, services) for 4 major FSNCs over the period 2011-2021;compare and analyse cost elements such as labor, fuel, aircraft maintenance, CASM (or CASK), aircraft ownership and other unit costs for 4 major FSNCs over the period 2012-2021. Step 2. Correlation analysisanalyze the level of relationship between a dependent or criterion variable (RPK) and several independent or predictor variables (REV , PAX , ASK , number of destinations, yield, LF, number of aircraft) for 4 major FSNCs over the period 2012-2021. Please, provide the results of correlation analysis in annexes and summarize all the information in the figures and tables in the main part of the assignment.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. Please, provide the results of correlation analysis in annexes and summarize all the information in the figures and tables in the main part of the assignment.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. Please, provide the results of correlation analysis in annexes and summarize all the information in the figures and tables in the main part of the assignment. Step 3. Regression analysisForecast 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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