education             package:robustbase             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, providing 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

_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)
     education.x <- data.matrix(education[, 3:5])
     summary(lm.education <- lm(Y ~ Region + X1+X2+X3, data=education))

