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.
year
Year that wage information was recorded
age
Age of worker
maritl
A factor with levels 1. Never Married
2. Married
3. Widowed
4. Divorced
and
5. Separated
indicating marital status
race
A factor with levels 1. White
2. Black
3. Asian
and 4. Other
indicating race
education
A factor with levels 1. < HS Grad
2. HS Grad
3. Some College
4. College Grad
and 5. Advanced Degree
indicating education level
region
Region of the country (mid-atlantic only)
jobclass
A factor with levels 1. Industrial
and
2. Information
indicating type of job
health
A factor with levels 1. <=Good
and
2. >=Very Good
indicating health level of worker
health_ins
A factor with levels 1. Yes
and
2. No
indicating whether worker has health insurance
logwage
Log of workers wage
wage
Workers 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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