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Multivariate regression analysis of airline market recovery in the post-pandemic era


Aeronautics and Aerospace Open Access Journal
Ming Cheng,1 Brendan Hosty,2 Amy Xu,2 Chien-tsung Lu2

Abstract

While COVID-19 has substantially affected the airline industry, a business rebound is expected. To better anticipate the needed workforce, this study revisited economic datasets from the Federal Reserve Bank, Bureau of Transportation Statistics (BTS), the Federal Aviation Administration (FAA), and other essential resources to predict the market recovery. VOSviewer and multivariate regression analysis were used to identify critical research clusters and important variables of the emerging market recovery. Minitab was used to run the multivariate regression analysis and the correlation coefficients among selected variables were discovered. The result showed that strongly correlated variables for airline market recovery included Net Domestic Product (NDP), Gross Domestic Product (GDP), and Real Disposable Personal Income (RDPI) in this study. 

Keywords

airline market, market recovery, post-pandemic preparedness, multivariate regression analysis, VOSviewer

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