Tests of Equality of Group Means

  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 Input 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> N of Rows in Working Data File 1621

  Missing Value Handling Definition of Missing User-defined missing values are treated as missing in the analysis phase.

  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 Input 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> N of Rows in Working Data File 1621

  Missing Value Handling Definition of Missing User-defined missing values are treated as missing in the analysis phase.

  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 Elapsed Time 00:00:00.563

  [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 Excluded Missing or out-of-range group

  .0 codes At least one missing

  .0 discriminating variable Both missing or out-of-range group codes and at least one .0 missing discriminating variable Total

  .0 Total 1621 100.0

  

Group Statistics

  Valid N (listwise) ss Mean Std. Deviation Unweighted Weighted

  Tidak Melakukan Stock Split per .225598 1.9457744 1571 1571.000 pbv .075358 1.1161476 1571 1571.000 Melakukan Stock Split per .905096 2.1480307 50 50.000 pbv 1.168524E0 1.8446155

  50 50.000 Total per .246557 1.9551358 1621 1621.000 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

  a Pooled Within-Groups Matrices

  per pbv Covariance per 3.811 .286 pbv .286 1.311 Correlation per 1.000 .128 pbv .128 1.000 a. The covariance matrix has 1619 degrees of freedom.

  a Covariance Matrices

  ss per pbv Tidak Melakukan Stock Split per 3.786 .222 pbv .222 1.246 Melakukan Stock Split per 4.614 2.315 pbv 2.315 3.403 Total per 3.823 .308 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

  Function

  1 Per .234 pbv .943

  Structure Matrix

  Function

  1 pbv .973 per .355 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 .120 pbv .823 (Constant) -.119

  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 (Constant) -.701 -1.270 Fisher's linear discriminant functions

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 F Approx. 14.709 df1

  3

  Test Results

  Box's M 44.788 Approx. 14.709 df1

  3 df2 8.330E4 F

  Sig. .000 Tests null hypothesis of equal population covariance matrices. 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 Input 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> N of Rows in Working Data File 1317

  Missing Value Handling Definition of Missing User-defined missing values are treated as missing in the analysis phase.

  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 Input 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> N of Rows in Working Data File 1317

  Missing Value Handling Definition of Missing User-defined missing values are treated as missing in the analysis phase.

  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 Excluded Missing or out-of-range group

  .0 codes At least one missing

  .0 discriminating variable Both missing or out-of-range group codes and at least one .0 missing discriminating variable Total

  .0 Total 1317 100.0

  

Group Statistics

  Valid N (listwise) Ss Mean Std. Deviation

  Unweighted Weighted Tidak Melakukan Stock Split per .202320 2.0047705 1275 1275.000 pbv .127533 1.2613546 1275 1275.000 Melakukan Stock Split per .654333 1.8422868 42 42.000 pbv .209071 1.2845222

  42 42.000 Total per .216735 2.0007222 1317 1317.000 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 pbv 1.000 .170 1 1315 .680

  a Pooled Within-Groups Matrices

  per pbv Covariance per 4.000 .358 pbv .358 1.593 Correlation per 1.000 .142 pbv .142 1.000 a. The covariance matrix has 1315 degrees of freedom.

  a Covariance Matrices

  ss per pbv Tidak Melakukan Stock Split per 4.019 .354 pbv .354 1.591 Melakukan Stock Split per 3.394 .490 pbv .490 1.650 Total per 4.003 .359 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 pbv .145

  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 Tidak Melakukan Stock Split -.007

  Functions at Group Centroids

  Function ss

  1 Tidak Melakukan Stock Split -.007 Melakukan Stock Split .221 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 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

  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 F Approx. .267 df1

  3 df2 5.835E4 Sig. .849

  Tests null hypothesis of equal population covariance matrices. 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 Input 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> N of Rows in Working Data File 1032

  Missing Value Handling Definition of Missing User-defined missing values are treated as missing in the analysis phase.

  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 00:00:00.078 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

  At least one missing discriminating variable .0

  Both missing or out-of-range group codes and at least one missing discriminating variable

  .0 Excluded

  Total .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 Matrices a

  per pbv per 4.255 .371 Covariance pbv .371 1.673 per 1.000 .139 Correlation pbv .139 1.000

  a. The covariance matrix has 1030 degrees of freedom.

  Covariance Matrices a

  ss per pbv per 4.314 .367 Tidak Melakukan Stock Split pbv .367 1.710 per 2.582 .504 Melakukan Stock Split

  Total per 4.257 .370 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 pbv -.411

  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 Tidak Melakukan Stock Split -.008 Melakukan Stock Split .208 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 .500 996 996.000 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

  Wilks' Lambda

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

  1 .998 1.612 2 .447

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 F Approx. 6.980 df1

  3 df2 4.257E4 Sig. .000

  Tests null hypothesis of equal population covariance matrices.