I performed the regression analysis to identify the expression that explains the relationship. It's a nonlinear relationship. It depends on the oil price as one dependent variable, but there are other factors, too, such as inventory level, consumption season (i.e., summermore travel, winterheating requirements), and supply chain uncertainties and forecastings such as war and production cuts. airline stock price = b0 - b1 (Oil Price) + b2 (inventory level) + b3 (production level) + b4 (consumption rate based on the season)