Exact F

Step

Tolerance

F to Remove

Wilks’ Lambda

Statistic

Df1

Df2

Sig.

1

NEO-E3

.589

42.42

.878

133.530

2

4002.000

.000

2

NEO-A1

.752

63.44

.887

81.177

4

8002.000

.000

3

NEO-A3

.535

9.505

.864

69.314

6

8000.000

.000

4

NEO-C4

.479

14.55

.866

57.652

8

7998.000

.000

5

NEO-O5

.912

14.48

.866

49.416

10

7996.000

.000

6

NEO-A6

.774

4.48

.861

42.691

12

7994.000

.000

7

NEO-C2

.696

5.43

.862

37.823

14

7992.000

.000

8

NEO-C3

.557

15.63

.866

34.642

16

7990.000

.000

9

NEO-E6

.598

6.93

.862

31.802

18

7988.000

.000

10

NEO-A2

.744

6.64

.862

29.228

20

7986.000

.000

11

NEO-C5

.469

9.32

.863

27.131

22

7984.000

.000

12

NEO-N1

.804

6.18

.862

25.338

24

7982.000

.000

13

NEO-E4

.556

5.19

.862

23.742

26

7980.000

.000

14

NEO-E1

.483

4.90

.862

22.418

28

7978.000

.000

Function

Eigenvalue

% of Variance

Canonical Correlation

Wilks’ Lambda

Chi-square

Df

Sig.

1

.157a

96.4

.368

.859

605.217

28

.000

2

.006a

3.6

.076

.994

23.166

13

.040