| Wage | R Documentation |
Wage and other data for a group of 3000 male workers in the Mid-Atlantic region.
Wage
A data frame with 3000 observations on the following 11 variables.
yearYear that wage information was recorded
ageAge of worker
maritlA factor with levels 1. Never Married
2. Married 3. Widowed 4. Divorced and
5. Separated indicating marital status
raceA factor with levels 1. White
2. Black 3. Asian and 4. Other indicating race
educationA factor with levels 1. < HS Grad
2. HS Grad 3. Some College 4. College Grad
and 5. Advanced Degree indicating education level
regionRegion of the country (mid-atlantic only)
jobclassA factor with levels 1. Industrial and
2. Information indicating type of job
healthA factor with levels 1. <=Good and
2. >=Very Good indicating health level of worker
health_insA factor with levels 1. Yes and
2. No indicating whether worker has health insurance
logwageLog of workers wage
wageWorkers raw wage
Data was manually assembled by Steve Miller, of Inquidia Consulting (formerly Open BI). From the March 2011 Supplement to Current Population Survey data.
https://www.re3data.org/repository/r3d100011860
James, G., Witten, D., Hastie, T., and Tibshirani, R. (2013) An Introduction to Statistical Learning with applications in R, https://www.statlearning.com, Springer-Verlag, New York
summary(Wage) lm(wage~year+age,data=Wage) ## maybe str(Wage) ; plot(Wage) ...
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