attitude              package:datasets              R Documentation

_T_h_e _C_h_a_t_t_e_r_j_e_e-_P_r_i_c_e _A_t_t_i_t_u_d_e _D_a_t_a

_D_e_s_c_r_i_p_t_i_o_n:

     From a survey of the clerical employees of a large financial
     organization, the data are aggregated from the questionnaires of
     the approximately 35 employees for each of 30 (randomly selected)
     departments.  The numbers give the percent proportion of
     favourable responses to seven questions in each department.

_U_s_a_g_e:

     attitude

_F_o_r_m_a_t:

     A dataframe with 30 observations on 7 variables. The first column
     are the short names from the reference, the second one the
     variable names in the data frame:

          Y  rating      numeric  Overall rating
       X[1]  complaints  numeric  Handling of employee complaints
       X[2]  privileges  numeric  Does not allow special privileges
       X[3]  learning    numeric  Opportunity to learn
       X[4]  raises      numeric  Raises based on performance
       X[5]  critical    numeric  Too critical
       X[6]  advancel    numeric  Advancement

_S_o_u_r_c_e:

     Chatterjee, S. and Price, B. (1977) _Regression Analysis by
     Example_. New York: Wiley. (Section 3.7, p.68ff of 2nd ed.(1991).)

_E_x_a_m_p_l_e_s:

     require(stats); require(graphics)
     pairs(attitude, main = "attitude data")
     summary(attitude)
     summary(fm1 <- lm(rating ~ ., data = attitude))
     opar <- par(mfrow = c(2, 2), oma = c(0, 0, 1.1, 0),
                 mar = c(4.1, 4.1, 2.1, 1.1))
     plot(fm1)
     summary(fm2 <- lm(rating ~ complaints, data = attitude))
     plot(fm2)
     par(opar)