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An analyst gathers the following summary of the goodness-of-fit measures for a dependent variable regressed on alternative sets of factors:

| Independent Variables | Adjusted $R^2$ | Akaike's Information Criterion (AIC) | Schwarz's Bayesian Information Criterion (BIC) |

|------------------------|----------------|--------------------------------------|-----------------------------------------------|

| Model 1: Factor 1 | 0.631 | 13.156 | 14.990 |

| Model 2: Factors 1 and 2 | 0.652 | 14.287 | 15.189 |

| Model 3: Factors 1, 2, and 3 | 0.648 | 12.463 | 16.397 |

Which of the models should be preferred for prediction purposes?