A real estate analyst builds two regression models to predict house prices. Model A uses 3 predictors (size, age, location) and achieves $R^2 = 0.89$. Model B uses 10 predictors (size, age, location, plus 7 others) and achieves $R^2 = 0.92$. When comparing these models for future predictions, which statement is MOST reasonable?