RL and linear regression models are valuable tools for the analysis of the psychological/neural processes that underlie choice sequence data on a trial-by-trial basis. However, the relation between the two models has not been described, and these models have been used independently. In the present study, we aimed to clarify the relation between the two approaches using analytical calculations and computer simulations. Here, we summarize our findings and describe their implications.