Source SS df MS Number of obs E 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 E 0. 3024 Total 7160 . 41429 525 13. 6388844 Root MSE = 3 . 0845 wage Coef. Std. Err. t P> | t| [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 a person with 10 years of education, 2 years of experience and 2 years of tenure is [_