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Cevabınızı buraya yazın
library(wooldridge)
data("wage1")
head(wage1)
## wage educ exper tenure nonwhite female married numdep smsa northcen south
## 1 3.10 11 2 0 0 1 0 2 1 0 0
## 2 3.24 12 22 2 0 1 1 3 1 0 0
## 3 3.00 11 2 0 0 0 0 2 0 0 0
## 4 6.00 8 44 28 0 0 1 0 1 0 0
## 5 5.30 12 7 2 0 0 1 1 0 0 0
## 6 8.75 16 9 8 0 0 1 0 1 0 0
## west construc ndurman trcommpu trade services profserv profocc clerocc
## 1 1 0 0 0 0 0 0 0 0
## 2 1 0 0 0 0 1 0 0 0
## 3 1 0 0 0 1 0 0 0 0
## 4 1 0 0 0 0 0 0 0 1
## 5 1 0 0 0 0 0 0 0 0
## 6 1 0 0 0 0 0 1 1 0
## servocc lwage expersq tenursq
## 1 0 1.131402 4 0
## 2 1 1.175573 484 4
## 3 0 1.098612 4 0
## 4 0 1.791759 1936 784
## 5 0 1.667707 49 4
## 6 0 2.169054 81 64
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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