Abrasive waterjet (AWJ) machining is a versatile technique for cold disintegration of various materials, with its performance significantly influenced by various process parameters. This study examines the relationships between input variables and critical output wear rates, including material removal rate (MRR), groove depth, and groove width, during the machining of AISI 316 L stainless steel. Utilizing a design of experiments employing focusing tube diameters of 0.89 mm and 0.5 mm, traverse speeds of 125, 250, and 500 mm/min, abrasive flow rates ranging from 5 to 50 g/min, and abrasive mesh sizes of 80 and 200, a dataset is generated. While existing literature explores the individual and combined effects of these parameters, a holistic statistical approach to simultaneously predict material removal performance across this parameter domain remains underexplored. The results showed a direct relationship between abrasive flow rate and depth, as well as MRR, and an inverse relationship with traverse speed. However, the groove width was unaffected by these parameters and only depended on the focusing tube diameter. The results obtained contribute to a deeper understanding of interactions within the AWJ process and provide valuable guidance for industrial applications seeking to maximize the material removal rate.