Using the same data set, we now estimate the following regression: Model 2 wage = B1 + B2points; + Bzreboundsi + B4exper + Bsage + Ui Observations: 269 Dependent Variable: wage MODEL FIT: F(4,264) = 80.7710, p = 0.0000 R2 = ???? Adj. R2 = ???? Est. S.E. t val. (Intercept) points rebounds exper age -264.4327 80.9795 78.4358 79.1961 3.7055 854.4401 8.7238 17.3056 37.3423 36.9569 -0.3095 9.2826 4.5324 2.1208 0.1003 0.7572 0.0000 0.0000 0.0349 0.9202 > anova Analysis of Variance Table Response: wage Df Sum sa Mean Sq F value Pr (>F) points 1 115639003 115639003 253.4347 anova Analysis of Variance Table Response: wage Df Sum sa Mean Sq F value Pr (>F) points 1 115639003 115639003 253.4347