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Analisis Diskriminan Menggunakan Statistica

Written By Unknown on Rabu, 24 Juni 2015 | 23.12

Statistic > Multivariate Explatory Tecniques > disciminant analysis
 
Klik variable
Pada grouping > pilih variabel y (3)
Pada indepent variabel : pilih variabel x1 (1) dan x2 (2)
Klik Ok
 
Klik summary
Discriminant Function Analysis Summary (Spreadsheet1)
No. of vars in model: 2; Grouping: y (2 grps) Wilks' Lambda: ,05817 approx. F (2,17)=137,63 p< ,0000
 
  Wilks&apos;
Partial
F-remove
p-level
Toler.
1-Toler.
x1
0,801176
0,072602
217,1549
0,000000
0,866952
0,133048
x2
0,074050
0,785506
4,6421
0,045831
0,866952
0,133048
 
Klik perfom canonical analysis
 
Klik summary: Chi square test of successive roots
Chi-Square Tests with Successive Roots Removed (Spreadsheet1)
  Eigen-
Canonicl
Wilks&apos;
Chi-Sqr.
df
p-level
0
16,19200
0,970481
0,058167
48,35555
2
0,000000
Klik coefficient for canonical varaiable
Factor Structure Matrix (Spreadsheet1) Correlations Variables - Canonical Roots (Pooled-within-groups correlations
  Root 1
x1
-0,878783
x2
-0,123800

Klik means of canonical variable:
 
Means of Canonical Variables (Spreadsheet1)
  Root 1
G_1:0
3,81743
G_2:1
-3,81743

Klik classification
 
Classsification Matriks
 
Classification Matrix (Spreadsheet1) Rows: Observed classifications Columns: Predicted classifications
 
  Percent
G_1:0
G_2:1
G_1:0
100,0000
10
0
G_2:1
100,0000
0
10
Total
100,0000
10
10
Hasil dan pembahasan sama dengan penggunaan software lainnya
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