A
download datas5.m
Language: Matlab
LOC: 31
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MatLinks/Chorus(matlinks)
Server: SourceForge
Type: cvs
...chest\copyleft\gpl\stixbox\
   bincoef.m
   cat2tbl.m
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   Contents.m
   contincy.m
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   datas1.m
   datas10.m
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   datas2.m
   datas3.m
   datas4.m
   datas5.m
   datas6.m
   datas7.m
   datas8.m
   datas9.m
   dbeta.m
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   df.m
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   stdize.m
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   stixdemo.m
   test1b.m
   test1n.m
   test1r.m
   test2n.m
   test2r.m

function x = datas5
%*********************** Brain and Body Weight Data ***********************
%
%Source:      Jerison, H. J. (1973), "Evolution of the Brain and
%             Intelligence," New York: Academic Press.
%
%Taken From:  Rousseeuw, P. J. and Leroy, A. M. (1987), "Robust Regression
%             and Outlier Detection," New York: John Wiley & Sons, p. 57.
%
%Dimension:   28 observations on 2 variables
%
%Description: The sample was taken from a larger data set. It is to be
%             determined whether a larger brain is required to govern a
%             heavier body. The observations represent the following animals:
%
% 1 Mountain beaver    2 Cow            3 Gray wolf          4 Goat
% 5 Guinea pig         6 Diplodocus     7 Asian elephant     8 Donkey
% 9 Horse             10 Potar monkey  11 Cat               12 Giraffe
% 13 Gorilla          14 Human         15 African elephant  16 Triceratops
% 17 Rhesus monkey    18 Kangaroo      19 Hamster           20 Mouse
% 21 Rabbit           22 Sheep         23 Jaguar            24 Chimpanzee
% 25 Brachiosaurus    26 Rat           27 Mole              28 Pig
%
% Column   Description
%
%   1      Body weight in kilograms
%   2      Brain weight in grams

x = [
     1.35       8.1
   465        423
    36.33     119.5
    27.66     115
     1.04       5.5
 11700         50
  2547       4603
   187.1      419
   521        655
    10        115
     3.3       25.6
   529        680
   207        406
    62       1320
  6654       5712
  9400         70
     6.8      179
    35         56
     0.12       1
     0.023      0.4
     2.5       12.1
    55.5      175
   100        157
    52.16     440
 87000        154.5
     0.28       1.9
     0.122      3
   192        180
];

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