#  x11.txt
#
#  Reference:
#
#    Helmut Spaeth,
#    Mathematical Algorithms for Linear Regression,
#    Academic Press, 1991,
#    ISBN 0-12-656460-4.
#
#    S Weisberg,
#    Applied Linear Regression,
#    Wiley, 1980, pages 148-149.
#
#  Discussion:
#
#    In order to investiage the pasture rent structure with respect
#    to the grass variety, the following data were collected over
#    various districts in Minnesota.
#
#    There are 67 rows of data.  The data columns include:
#
#      I,  the index;
#      A1, the rent per acre of arable land,
#      A2, the number of milk cows per square mile, 
#      A3, the difference between pasturage and arable land,
#      B,  the rental price per acre for this variety of grass.  
#
#    We seek a model of the form:
#
#      B = A1 * X1 + A2 * X2 + A3 * X3.
#
5 columns
67 rows
Index
Rent per arable acre (dollars)
Milk cows per square mile
Difference between pasture and arable land
Rental price per grassy acre
 1  15.50  17.25  0.24  18.38
 2  22.29  18.51  0.20  20.00
 3  12.36  11.13  0.12  11.50
 4  31.84   5.54  0.12  25.00
 5  83.90   5.44  0.04  62.50
 6  72.25  20.37  0.05  82.50
 7  27.14  31.20  0.27  25.00
 8  40.41   4.29  0.10  30.67
 9  12.42   8.69  0.41  12.00
10  69.42   6.63  0.04  61.25
11  48.46  27.40  0.12  60.00
12  69.00  31.23  0.08  67.50
13  26.09  28.50  0.21  31.00
14  62.83  29.98  0.17  60.00
15  77.06  13.59  0.05  72.50
16  58.83  45.46  0.16  60.33
17  59.48  35.90  0.32  49.75
is   9.00   8.89  0.08   8.50
19  20.64  23.81  0.24  36.50
20  81.40   4.54  0.05  60.00
21  18.92  29.62  0.72  16.25
22  50.32  21.36  0.19  50.00
23  21.33   1.53  0.10  11.60
24  46.85   5.42  0.08  35.00
25  65.94  22.10  0.09  75.00
26  38.68  14.55  0.17  31.56
27  51.19   7.59  0.13  48.50
28  59.42  49.86  0.13  77.50
29  24.64  11.46  0.21  21.67
30  26.94   2.48  0.10  19.75
31  46.20  31.62  0.26  56.00
32  26.86  53.73  0.43  25.00
33  20.00  40.18  0.56  40.00
34  62.52  15.89  0.05  56.67
35  66.00  14.25  0.15  51.79
36  71.41  21.37  0.05  96.67
37  65.00  13.24  0.08  50.83
38  36.28   5.85  0.10  34.33
39  59.88  32.99  0.21  48.75
40  23.62  28.89  0.24  25.80
41  24.20   6.29  0.06  20.00
42  17.09  33.34  0.66  16.00
43  44.56  16.70  0.15  48.67
44  34.46   4.20  0.03  20.78
45  31.55  23.47  0.19  32.50
46  26.94   8.28  0.10  19.00
47  58.71   7.40  0.04  51.50
48  65.74   7.71  0.02  49.17
49  69.05  46.18  0.22  85.00
50  57.54  14.98  0.11  58.76
51  21.73   6.58  0.06  19.33
52   6.17  13.68  0.18   5.00
53  51.00  50.50  0.24  65.00
54  18.25  16.12  0.32  20.00
55  69.88  31.48  0.07  62.50
56  26.68  58.60  0.23  35.00
57  75.73  35.43  0.05  99.17
58  41.77   4.53  0.08  40.25
59  48.50   6.82  0.08  39.17
60  21.89  43.70  0.36  37.50
61  38.33   2.83  0.04  26.25
62  53.95  42.54  0.25  52.14
63  17.17  24.16  0.36  22.50
64  82.00   7.89  0.03  90.00
65  40.60   3.27  0.02  28.00
66  53.89  53.16  0.24  50.00
67  54.17   5.57  0.06  24.50