Source SS df MS Number of obs 526 F (3, 522) 76.87 Model 2194. 1116 3 731.370532 Prob > F 0 . 0000 Residual 4966. 30269 522 9.51398984 R-squared 0 . 3064 Adj R-squared = 0. 3024 Total 7160 . 41429 525 13 . 6388844 Root MSE 3. 0845 wage Coef. Std. Err. t P>It| [95% Conf. Interval] educ . 5989651 . 0512835 11 . 68 0 . 000 . 4982176 . 6997126 exper . 0223395 . 0120568 1. 85 0 . 064 - . 0013464 . 0460254 tenure . 1692687 . 0216446 7. 82 0. 000 . 1267474 . 2117899 _cons -2. 872735 . 7289643 -3.94 0. 000 -4.304799 -1. 440671 Consider the following regression estimates (IDTQ1), where wage is hourly wage in US$ and educ is years of education, exper is years of work experience and tenure is years with the current employer. The predicted hourly wage for an individual with 12 years of education, 5 years of experience and 2 years of tenure is