A manager performs two regression analyses. The first has two independent variables, and the second has 3 (the two original variables plus one more). The table below shows the summary regression statistics for the two models. Using only these statistics, and taking into account the fact that the two models have a differing number of independent variables, which model is preferred? The second because it explains more of the variation in the dependent variable. The first because it has a lower multiple R. The second because models with more independent variables are always better predictons The second because it has a higher R-squared value. The first because it has a higher adjusted R-squared value