DISCRIMINANT /GROUPS=ss(0 1) /VARIABLES=per pbv /ANALYSIS ALL /PRIORS EQUAL
/STATISTICS=MEAN STDDEV UNIVF BOXM COEFF RAW CORR COV GCOV TCOV
/CLASSIFY=NONMISSING POOLED.
Discriminant
Notes
Output Created 15-Jul-2008 07:25:45
Comments
Data C:\Documents and Settings\ \My Documents\My
Documents\UNIKA\ROSI\Bebas Outlier\1 tahun.sav
Active Dataset DataSet1 Filter <none> Weight <none> Split File <none> Input
N of Rows in Working Data File 1621 Definition of Missing User-defined missing values are treated
as missing in the analysis phase. Missing Value Handling
Cases Used In the analysis phase, cases with no user- or system-missing values for any predictor variable are used. Cases with user-, system-missing, or out-of-range values for the grouping variable are always
excluded.
Syntax DISCRIMINANT
/GROUPS=ss(0 1) /VARIABLES=per pbv /ANALYSIS ALL /PRIORS EQUAL
/STATISTICS=MEAN STDDEV UNIVF BOXM COEFF RAW CORR COV GCOV TCOV
/CLASSIFY=NONMISSING POOLED.
Notes
Output Created 15-Jul-2008 07:25:45
Comments
Data C:\Documents and Settings\ \My Documents\My
Documents\UNIKA\ROSI\Bebas Outlier\1 tahun.sav
Active Dataset DataSet1 Filter <none> Weight <none> Split File <none> Input
N of Rows in Working Data File 1621 Definition of Missing User-defined missing values are treated
as missing in the analysis phase. Missing Value Handling
Cases Used In the analysis phase, cases with no user- or system-missing values for any predictor variable are used. Cases with user-, system-missing, or out-of-range values for the grouping variable are always
excluded.
Syntax DISCRIMINANT
/GROUPS=ss(0 1) /VARIABLES=per pbv /ANALYSIS ALL /PRIORS EQUAL
/STATISTICS=MEAN STDDEV UNIVF BOXM COEFF RAW CORR COV GCOV TCOV
/CLASSIFY=NONMISSING POOLED.
Processor Time 00:00:00.094
[DataSet1] C:\Documents and Settings\
\My Documents\My Documents\UNIKA\ROSI\Bebas Outlier\1 tahun.sav
Analysis Case Processing Summary
Unweighted Cases N Percent
Valid 1621 100.0
Missing or out-of-range group
codes 0 .0
At least one missing
discriminating variable 0 .0 Both missing or out-of-range
group codes and at least one missing discriminating variable
0 .0
Excluded
Total 0 .0
Total 1621 100.0
Group Statistics
Valid N (listwise) ss Mean Std. Deviation Unweighted Weighted
per .225598 1.9457744 1571 1571.000 Tidak Melakukan Stock Split
pbv .075358 1.1161476 1571 1571.000 per .905096 2.1480307 50 50.000 Melakukan Stock Split
pbv 1.168524E0 1.8446155 50 50.000 per .246557 1.9551358 1621 1621.000 Total
pbv .109077 1.1601720 1621 1621.000
Tests of Equality of Group Means
Wilks' Lambda F df1 df2 Sig.
per .996 5.871 1 1619 .016
Tests of Equality of Group Means
Wilks' Lambda F df1 df2 Sig.
per .996 5.871 1 1619 .016
Pooled Within-Groups Matricesa
per pbv a. The covariance matrix has 1619 degrees of freedom.
Covariance Matricesa
ss per pbv
per 3.786 .222 Tidak Melakukan Stock Split
pbv .222 1.246 per 4.614 2.315 Melakukan Stock Split
pbv 2.315 3.403 per 3.823 .308 Total
pbv .308 1.346 a. The total covariance matrix has 1620 degrees of freedom.
Analysis 1
Standardized Canonical
Discriminant Function
Coefficients
Function 1
Standardized Canonical
Discriminant Function
Coefficients
Pooled within-groups correlations between discriminating variables and standardized canonical discriminant functions
Variables ordered by absolute size of correlation within function.
Canonical Discriminant
Functions at Group Centroids
Function
ss 1
Tidak Melakukan Stock Split -.030 Melakukan Stock Split .951 Unstandardized canonical discriminant functions evaluated at group means
Classification Statistics
Prior Probabilities for Groups
Cases Used in Analysis ss Prior Unweighted Weighted
Tidak Melakukan Stock Split .500 1571 1571.000 Melakukan Stock Split .500 50 50.000
Total 1.000 1621 1621.000
Classification Function Coefficients
ss
Tidak Melakukan Melakukan Stock Stock Split Split
per .056 .174
pbv .045 .853
Summary of Canonical Discriminant Functions
Eigenvalues
Canonical Function Eigenvalue % of Variance Cumulative % Correlation
a
1 .029 100.0 100.0 .167
a. First 1 canonical discriminant functions were used in the analysis.
Wilks' Lambda
Test of Function
(s) Wilks' Lambda Chi-square df Sig.
1 .972 45.998 2 .000
Box's Test of Equality of Covariance Matrices
Log Determinants
ss Rank Log Determinant
Tidak Melakukan Stock Split 2 1.541 Melakukan Stock Split 2 2.336 Pooled within-groups 2 1.592 The ranks and natural logarithms of determinants printed are those of the group covariance matrices.
Test Results
Box's M 44.788 Approx. 14.709
df1 3
df2 8.330E4 F
Test Results
Box's M 44.788 Approx. 14.709
df1 3
df2 8.330E4 F
DISCRIMINANT /GROUPS=ss(0 1) /VARIABLES=per pbv /ANALYSIS ALL /PRIORS EQUAL
/STATISTICS=MEAN STDDEV UNIVF BOXM COEFF RAW CORR COV GCOV TCOV
/CLASSIFY=NONMISSING POOLED.
Discriminant
Notes
Output Created 15-Jul-2008 07:41:49
Comments
Data C:\Documents and Settings\ \My Documents\My
Documents\UNIKA\ROSI\Bebas Outlier\2 tahun.sav
Active Dataset DataSet1 Filter <none> Weight <none> Split File <none> Input
N of Rows in Working Data File 1317 Definition of Missing User-defined missing values are treated
as missing in the analysis phase. Missing Value Handling
Cases Used In the analysis phase, cases with no user- or system-missing values for any predictor variable are used. Cases with user-, system-missing, or out-of-range values for the grouping variable are always
excluded.
Syntax DISCRIMINANT
/GROUPS=ss(0 1) /VARIABLES=per pbv /ANALYSIS ALL /PRIORS EQUAL
/STATISTICS=MEAN STDDEV UNIVF BOXM COEFF RAW CORR COV GCOV TCOV
/CLASSIFY=NONMISSING POOLED.
Notes
Output Created 15-Jul-2008 07:41:49
Comments
Data C:\Documents and Settings\ \My Documents\My
Documents\UNIKA\ROSI\Bebas Outlier\2 tahun.sav
Active Dataset DataSet1 Filter <none> Weight <none> Split File <none> Input
N of Rows in Working Data File 1317 Definition of Missing User-defined missing values are treated
as missing in the analysis phase. Missing Value Handling
Cases Used In the analysis phase, cases with no user- or system-missing values for any predictor variable are used. Cases with user-, system-missing, or out-of-range values for the grouping variable are always
excluded.
Syntax DISCRIMINANT
/GROUPS=ss(0 1) /VARIABLES=per pbv /ANALYSIS ALL /PRIORS EQUAL
/STATISTICS=MEAN STDDEV UNIVF BOXM COEFF RAW CORR COV GCOV TCOV
/CLASSIFY=NONMISSING POOLED.
Processor Time 00:00:00.109
Elapsed Time 00:00:01.812
[DataSet1] C:\Documents and Settings\
Analysis Case Processing Summary
Unweighted Cases N Percent
Valid 1317 100.0
Missing or out-of-range group
codes 0 .0
At least one missing
discriminating variable 0 .0 Both missing or out-of-range
group codes and at least one missing discriminating variable
0 .0
Excluded
Total 0 .0
Total 1317 100.0
Group Statistics
Valid N (listwise) Ss Mean Std. Deviation Unweighted Weighted
per .202320 2.0047705 1275 1275.000 Tidak Melakukan Stock Split
pbv .127533 1.2613546 1275 1275.000 per .654333 1.8422868 42 42.000 Melakukan Stock Split
pbv .209071 1.2845222 42 42.000 per .216735 2.0007222 1317 1317.000 Total
pbv .130133 1.2616851 1317 1317.000
Tests of Equality of Group Means
Wilks' Lambda F df1 df2 Sig.
per .998 2.077 1 1315 .150
Pooled Within-Groups Matricesa a. The covariance matrix has 1315 degrees of freedom.
Covariance Matricesa
ss per pbv
per 4.019 .354 Tidak Melakukan Stock Split
pbv .354 1.591 per 3.394 .490 Melakukan Stock Split
pbv .490 1.650 per 4.003 .359 Total
pbv .359 1.592 a. The total covariance matrix has 1316 degrees of freedom.
Analysis 1
Standardized Canonical
Discriminant Function
Coefficients
Function 1
per .969
Structure Matrix
Function 1
per .990
pbv .283
Pooled within-groups correlations between discriminating variables and standardized canonical discriminant functions
Variables ordered by absolute size of correlation within function.
Canonical Discriminant Function
Coefficients
Function 1
per .485
pbv .115
(Constant) -.120 Unstandardized coefficients
Functions at Group Centroids
Function
ss 1
Functions at Group Centroids
Function
ss 1
Classification Statistics
Prior Probabilities for Groups
Cases Used in Analysis ss Prior Unweighted Weighted
Tidak Melakukan Stock Split .500 1275 1275.000 Melakukan Stock Split .500 42 42.000
Total 1.000 1317 1317.000
Classification Function Coefficients
ss
Tidak Melakukan Melakukan Stock Stock Split Split
per .044 .155
pbv .070 .096
(Constant) -.702 -.754 Fisher's linear discriminant functions
Summary of Canonical Discriminant Functions
Eigenvalues
Canonical Function Eigenvalue % of Variance Cumulative % Correlation
a
1 .002 100.0 100.0 .040
a. First 1 canonical discriminant functions were used in the analysis.
Wilks' Lambda
Test of Function
Wilks' Lambda
Test of Function
(s) Wilks' Lambda Chi-square df Sig.
1 .998 2.118 2 .347
Box's Test of Equality of Covariance Matrices
Log Determinants
ss Rank Log Determinant
Tidak Melakukan Stock Split 2 1.836 Melakukan Stock Split 2 1.679 Pooled within-groups 2 1.831 The ranks and natural logarithms of determinants printed are those of the group covariance matrices.
Test Results
Box's M .816
Approx. .267
df1 3
df2 5.835E4 F
DISCRIMINANT /GROUPS=ss(0 1) /VARIABLES=per pbv /ANALYSIS ALL /PRIORS EQUAL
/STATISTICS=MEAN STDDEV UNIVF BOXM COEFF RAW CORR COV GCOV TCOV
/CLASSIFY=NONMISSING POOLED.
Discriminant
Notes
Output Created 15-Jul-2008 09:06:15
Comments
Data C:\Documents and Settings\ \My Documents\My
Documents\UNIKA\ROSI\Bebas Outlier\3 tahun.sav
Active Dataset DataSet1 Filter <none> Weight <none> Split File <none> Input
N of Rows in Working Data File 1032 Definition of Missing User-defined missing values are treated
as missing in the analysis phase. Missing Value Handling
Cases Used In the analysis phase, cases with no user- or system-missing values for any predictor variable are used. Cases with user-, system-missing, or out-of-range values for the grouping variable are always
Syntax DISCRIMINANT /GROUPS=ss(0 1) /VARIABLES=per pbv /ANALYSIS ALL /PRIORS EQUAL
/STATISTICS=MEAN STDDEV UNIVF BOXM COEFF RAW CORR COV GCOV TCOV
/CLASSIFY=NONMISSING POOLED.
Processor Time 00:00:00.078
Resources
Elapsed Time 00:00:00.782
[DataSet1] C:\Documents and Settings\ \My Documents\My Documents\
\ROSI\Bebas Outlier\3 tahun.sav
Analysis Case Processing Summary
Unweighted Cases N Percent
Valid 1032 100.0
Missing or out-of-range group
codes 0 .0
At least one missing
discriminating variable 0 .0 Both missing or out-of-range
group codes and at least one missing discriminating variable
0 .0
Excluded
Total 0 .0
Total 1032 100.0
Group Statistics
Valid N (listwise) ss Mean Std. Deviation Unweighted Weighted
pbv .112542 1.3076177 996 996.000 per .645379 1.6070131 36 36.000 Melakukan Stock Split
pbv .035753 .7817954 36 36.000 per .253223 2.0631933 1032 1032.000 Total
pbv .109863 1.2927132 1032 1032.000
Tests of Equality of Group Means
Wilks' Lambda F df1 df2 Sig.
per .999 1.348 1 1030 .246
pbv 1.000 .122 1 1030 .726
Pooled Within-Groups Matricesa
per pbv a. The covariance matrix has 1030 degrees of freedom.
Covariance Matricesa
ss per pbv
per 4.314 .367 Tidak Melakukan Stock Split
pbv .367 1.710 per 2.582 .504 Melakukan Stock Split
per 4.257 .370 Total
pbv .370 1.671 a. The total covariance matrix has 1031 degrees of freedom.
Analysis 1
Standardized Canonical
Discriminant Function
Coefficients
Function
1
per .971
Structure Matrix
Function 1
per .914
pbv -.275
Pooled within-groups correlations between discriminating variables and standardized canonical discriminant functions Variables ordered by absolute size of correlation within function.
Canonical Discriminant
Function Coefficients
Function 1
per .471
pbv -.317
(Constant) -.084 Unstandardized coefficients
Functions at Group Centroids
Function
ss 1
Classification Statistics
Prior Probabilities for Groups
Cases Used in Analysis ss Prior Unweighted Weighted
Tidak Melakukan Stock Split .500 996 996.000 Melakukan Stock Split .500 36 36.000
Total 1.000 1032 1032.000
Classification Function Coefficients
ss
Tidak Melakukan Melakukan Stock Stock Split Split
per .051 .153
pbv .056 -.013
(Constant) -.702 -.742 Fisher's linear discriminant functions
Summary of Canonical Discriminant Functions
Eigenvalues
Canonical Function Eigenvalue % of Variance Cumulative % Correlation
a
1 .002 100.0 100.0 .040
a. First 1 canonical discriminant functions were used in the analysis.
Wilks' Lambda
Test of Function
Wilks' Lambda
Test of Function
(s) Wilks' Lambda Chi-square df Sig.
Box's Test of Equality of Covariance Matrices
Log Determinants
ss Rank Log Determinant
Tidak Melakukan Stock Split 2 1.980 Melakukan Stock Split 2 .281 Pooled within-groups 2 1.943 The ranks and natural logarithms of determinants printed are those of the group covariance matrices.
Test Results
Box's M 21.383 Approx. 6.980
df1 3
df2 4.257E4 F