Data collected by the Oakland-based "Children Now" from government
resources over the past for years to comprise a "year-in-the-life"
composite index of children's welfare.  Data are presented on
a county-by-county basis.
Data are in file 'welfare.dat'    c1: County ranking on Welfare index
                                  c2: Median family income
                                  c3: Median family income ranking

elaine13:/usr/class/ed191> minitab
 MINITAB RELEASE 7.2 *** SUN-4 version
 (C) Copyright 1989 Minitab, Inc. - ALL RIGHTS RESERVED
 U.S. FEDERAL GOVERNMENT USERS SEE HELP FGU
 OCT. 10, 1994 *** Stanford University - Libraries & Information Resources
 STORAGE AVAILABLE 100000
      Type NEWS for information on new features in
       Minitab Release 7.1
 MTB > read 'welfare.dat' c1-c3
      58 ROWS READ
  ROW    C1      C2    C3
    1     1   59157     1
    2     2   42789    10
    3     3   53430     3
    4     4   42805     9
   .  .  .
 MTB > plot c1 c2
          -
        60+    *
          -     **     * *
  C1      -     * * *            *
          -        2   *            *
          -        *     2
        40+           *  * *  *
          -       * *  *          *
          -      *      *        **
          -           *         *     *
          -        **  *             2
        20+            2  *              *
          -              *     *       *  * *
          -                      2   *              *
          -                   *         *            *   *
          -                              2            * *
         0+                                                      *
            --------+---------+---------+---------+---------+--------C2
                28000     35000     42000     49000     56000

 MTB > regress c1 1 c2

 The regression equation is
 C1 = 82.5 - 0.00151 C2

 Predictor       Coef       Stdev    t-ratio        p
 Constant      82.541       6.676      12.36    0.000
 C2        -0.0015145   0.0001840      -8.23    0.000

 s = 11.48       R-sq = 54.7%     R-sq(adj) = 53.9%

 Analysis of Variance

 SOURCE       DF          SS          MS         F        p
 Regression    1      8925.1      8925.1     67.73    0.000
 Error        56      7379.9       131.8
 Total        57     16305.0

 Unusual Observations
 Obs.      C2        C1       Fit Stdev.Fit  Residual   St.Resid
   1    59157      1.00     -7.05      4.63      8.05      0.77 X
   7    53670      7.00      1.26      3.69      5.74      0.53 X
  47    39035     47.00     23.42      1.65     23.58      2.08R
  50    36977     50.00     26.54      1.54     23.46      2.06R

 Continue? y
 R denotes an obs. with a large st. resid.
 X denotes an obs. whose X value gives it large influence.

 MTB > corr c1 c2
 Correlation of C1 and C2 = -0.740

  MTB > describe c2.

                 N     MEAN   MEDIAN   TRMEAN    STDEV   SEMEAN
 C2             58    35342    32567    34789     8262     1085

               MIN      MAX       Q1       Q3
 C2          24364    59157    29035    40007

 MTB > hist c2.

 Histogram of C2   N = 58

 Midpoint   Count
    25000      10  **********
    30000      19  *******************
    35000       9  *********
    40000      10  **********
    45000       4  ****
    50000       3  ***
    55000       2  **
    60000       1  *

 MTB > dotplot c2.

                     : .
                 :.  : :       :   .   .
             .::::: ::.:..  :..:: .:...:. .       ... ..       .
           -------+---------+---------+---------+---------+---------C2
              28000     35000     42000     49000     56000     63000


 MTB > stop