Statistical regression models have been applied in various biotechnical applications to support prediction. This research focuses on sustainable biodegradation of crude oil using native and recombinant microbial strains. Multiple regression models were developed and validated. The polynomial regression model showed high accuracy (R2=0.863). Recombinant strains gave better biodegradation with increasing incubation days.