## 
## Call:
## lm(formula = wage ~ educ + exper + tenure, data = wage1)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -7.6068 -1.7747 -0.6279  1.1969 14.6536 
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)    
## (Intercept) -2.87273    0.72896  -3.941 9.22e-05 ***
## educ         0.59897    0.05128  11.679  < 2e-16 ***
## exper        0.02234    0.01206   1.853   0.0645 .  
## tenure       0.16927    0.02164   7.820 2.93e-14 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 3.084 on 522 degrees of freedom
## Multiple R-squared:  0.3064, Adjusted R-squared:  0.3024 
## F-statistic: 76.87 on 3 and 522 DF,  p-value: < 2.2e-16
## [1] -0.6605600 -1.9048527 -0.7605599 -1.6414468  0.4902403  0.4840889