A study explores the association between wage (hourly wage in dollars), age (years) and tenure (job tenure in years) for a sample of 2231 higher education academics. You fit a regression equation using tenure and age as the predictor variables and average wage as the dependent variable. The output from this regression is given below

regress wage tenure age Source SS df MS Number of obs 2, 231 F(2, 2228) 39.28 Model 2523.72839 2 1261.86419 Prob > F 0.0000 Residual 71578.0993 2, 228 32.1266155 R-squared 0. 0341 Adj R-squared 0.0332 Total 74101.8276 2, 230 33.2295191 Root MSE 5.668 wage Coefficient Std. err. t P>It| [95% conf. interval] tenure . 1897294 . 0218416 8.69 0.000 . 1468974 . 2325614 age - . 0941805 . 0393165 -2.40 0. 017 - . 1712812 - . 0170797 _cons 10.34558 1.539894 6.72 0.000 7.325802 13.36536