education               package:rrcov               R Documentation

_E_d_u_c_a_t_i_o_n _E_x_p_e_n_d_i_t_u_r_e _D_a_t_a

_D_e_s_c_r_i_p_t_i_o_n:

     Education Expenditure Data, from Chatterjee and Price (1977,
     p.108). This data set, representing the education expenditure
     variables in the 50 US states,  provides an interesting example of
     heteroscedacity.

_U_s_a_g_e:

     data(education)

_F_o_r_m_a_t:

     A data frame with 50 observations on the following 6 variables.

     '_S_t_a_t_e' State

     '_R_e_g_i_o_n' Region (1=Northeastern, 2=North central, 3=Southern,
          4=Western)

     '_X_1' Number of residents per thousand residing in urban areas in
          1970

     '_X_2' Per capita personal income in 1973

     '_X_3' 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

     For convenience, the data sets 'education.x', a matrix with the 
     three (explanatory) variables of the data frame, and
     'education.y',  the numeric vector giving the dependent variable,
     are provided as well.

_S_o_u_r_c_e:

     P. J. Rousseeuw and A. M. Leroy (1987)  _Robust Regression and
     Outlier Detection._ Wiley, p.110, table 16.

_E_x_a_m_p_l_e_s:

     data(education)
     covMcd(education.x)
     summary(lm.education <- lm(Y~X1:X3, data=education))
     summary(lts.education <- ltsReg(Y~X1:X3, data=education))

