U.S. airlines have a vested interested in the intentions and purchase behavior of their domestic airline passengers, especially their willingness to pay for assorted ancillary services. For this research, antecedents to purchase intention and actual purchase behavior of airline ancillary services were evaluated using logistic regression and generalized linear model (GLM) and data collected from Amazon Mechanical Turk. The results show differences in airline passenger preferences when purchasing ancillary services. The number of times a passenger flies per year and the trip purpose are significant, while age and gender are not.