The authors evaluated their linear regression model by training it on one programming course and testing it on the other. The two cross-course evaluations produced RMSE values of 3.44 and 2.93. To assess whether the model performed better than random guessing, they compared it with baselines that generated exam scores using kernel and uniform distributions. The linear model performed better than these baselines for continuous exam scores. When scores were grouped into letter grades (A–F), however, its advantage over random guessing decreased substantially.