The simplest regression rate formula, which depends solely on oxidizer mass flux, originates from Marxman’s theory introduced in the 1960s. This commonly adopted model is still widely used, even though it cannot adequately represent the important effect of thermochemical properties associated to a given specific fuel. In this study, the space–time-averaged regression rate formula taking into account the mass transfer number B is reevaluated to highlight its relative sensitivity with respect to the commonly used simple formula even if B has been known to be a weak function on the regression rate. Polymers (High Density Polyethylene, Polymethylmethacrylate, and Polypropylene) are considered as fuel where theoretical mass flux exponent of 0.75 from the classical theory of Marxman is investigated when applied to the empirical regression rate. Besides, the effect of chamber pressure and use of motor oxidizer to fuel ratio on B sensitivity have been quantified and experimentally analyzed. It is shown that Marxm...