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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.

(2)

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

(3)

[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

(4)

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

(5)

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

(6)

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

(7)

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

(8)

Test Results

Box's M 44.788 Approx. 14.709

df1 3

df2 8.330E4 F

(9)

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.

(10)

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\

(11)

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

(12)

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

(13)

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

(14)

Functions at Group Centroids

Function

ss 1

(15)

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

(16)

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

(17)

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

(18)

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

(19)

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

(20)

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

(21)

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

(22)

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

(23)

Wilks' Lambda

Test of Function

(s) Wilks' Lambda Chi-square df Sig.

(24)

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

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