ödev 3

library(wooldridge)
mean(wage1$wage)

## [1] 5.896103

library(wooldridge)
lm(wage1$wage ~ wage1$educ)

## 
## Call:
## lm(formula = wage1$wage ~ wage1$educ)
## 
## Coefficients:
## (Intercept)   wage1$educ  
##     -0.9049       0.5414

library(wooldridge)
roe_15 <- ceosal1$roe[1:15]
roe_15

##  [1] 14.1 10.9 23.5  5.9 13.8 20.0 16.4 16.3 10.5 26.3 25.9 26.8 14.8 22.3 56.3

summary(cars)

##      speed           dist       
##  Min.   : 4.0   Min.   :  2.00  
##  1st Qu.:12.0   1st Qu.: 26.00  
##  Median :15.0   Median : 36.00  
##  Mean   :15.4   Mean   : 42.98  
##  3rd Qu.:19.0   3rd Qu.: 56.00  
##  Max.   :25.0   Max.   :120.00

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