Education Expenditure Data, from Chatterjee and Price (1977,
p.108). This data set, representing the education expenditure
variables in the 50 US states, providing an interesting example of
heteroscedacity.
Usage
data(education)
Arguments
Format
A data frame with 50 observations on the following 6 variables.
State
State
Region
Region (1=Northeastern, 2=North central, 3=Southern, 4=Western)
X1
Number of residents per thousand residing in urban areas in 1970
X2
Per capita personal income in 1973
X3
Number of residents per thousand under 18 years of age in 1974
Y
Per capita expenditure on public education in a
state, projected for 1975
Source
P. J. Rousseeuw and A. M. Leroy (1987)
Robust Regression and Outlier Detection;
Wiley, p.110, table 16.
data(education)
education.x <- data.matrix(education[, 3:5])
summary(lm.education <- lm(Y ~ Region + X1+X2+X3, data=education))
## See example(lmrob.M.S) # for how robust regression is used