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Linear Modelingeasy
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A real estate analyst builds two regression models to predict house prices. Model A uses 3 predictors (size, age, location) and achieves R2=0.89R^2 = 0.89R2=0.89. Model B uses 10 predictors (size, age, location, plus 7 others) and achieves R2=0.92R^2 = 0.92R2=0.92. When comparing these models for future predictions, which statement is MOST reasonable?