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Female; n = 245
Male; n
=
483
20
30
40
50
AQual
0
AQual
0
8
1
10
60
2
20
3
6
6
Rank
4
5
30
Age
4
6
1
Resrch
5
60
70
3
10
40
2
0
50
Rank
Remun
1
4
7
40
0
0
1
1
20
2
30
Age
20
2
4
30
1
40
Resrch
Remun
Resrch
9
10
9
8
Rank
7
6
5
4
8
3
2
0
1
0
1
20
2
3
10
2
4
10
7
6
0
AQual
8
10
10
20
30
20
6
Remun
40
50
30
5
40
4
50
30
3
60
2
Age
Rank
5
Remun
40
30
4
1
3
20
0
2
0
50
1
10
1
0
0
6
1
2
60
2
8
3
1
AQual
10
Resrch
Age
Figure 4.14 Two-dimensional CVA biplots for the 2002 remuneration data: (top left)
eigenvectors 1 and 2; (top right) eigenvectors 1 and 3; (bottom left) eigenvectors 1 and
4; (bottom right) eigenvectors 1 and 5.
Ta b l e 4 . 1 3 Remuneration data:
canonical means (weighted and
unweighted CVA).
1
2
3
4
5
Female
0.0281
0
0
0
0
Male
0.0142
0
0
0
0
parallel to this line (argument constant = -0.02 in the call below). The convention
of labelling all biplot axes at the high end of the scale is maintained. In the bottom panel
of Figure 4.15 a large-scale version of the biplot is given to ease the process of finding
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