A multivariate analysis of airline flight delays

Abstract

Customer service is of significant concern to an airline passenger. The on‐time performance of an airline is one of the important indicators of customer service. Analyses whether there is any relationship between airline flight delays and the financial situation of an airline. Identifies association between the probability of delay and financial factors of an airline using logistic regression. Indicates that the revenue growth and current ration reduce and leverage, airline size and operating revenue per employee increase the likelihood of a flight being delayed. Suggests the model presented should be of use to quality control professionals to identify causes of (binary) outcomes such as good and bad, on‐time and late, acceptable and not acceptable and so on.