lampiran 4 lampiran olah data spss - repo unpasrepository.unpas.ac.id/1858/28/lampiran olah...
TRANSCRIPT
Lampiran 4
LAMPIRAN OLAH DATA SPSS
X
N 1 2 3 4 5 6 7 8
1 4 4 5 5 4 4 4 4
2 5 5 5 5 5 4 5 4
3 5 5 5 5 5 4 5 4
4 4 4 4 5 4 4 4 4
5 4 4 4 5 4 4 4 4
6 4 3 4 3 3 4 4 4
7 5 3 3 2 4 4 4 4
8 5 4 4 4 3 4 4 4
9 4 5 4 4 4 4 4 3
10 5 4 4 4 4 4 4 4
11 5 5 4 4 4 4 4 3
12 5 4 4 5 5 4 4 4
13 5 5 4 4 5 4 5 4
14 4 4 4 5 4 4 4 4
15 4 4 5 5 4 4 4 4
16 5 4 4 5 4 4 4 4
17 4 4 4 5 4 4 5 4
18 5 5 4 5 4 4 4 4
19 4 4 3 5 4 4 4 4
20 4 4 4 5 4 4 4 4
21 5 4 4 4 4 4 4 4
22 4 4 3 4 3 3 3 2
23 4 4 4 5 4 4 4 3
24 5 4 4 5 4 4 4 4
25 4 4 4 4 3 4 3 3
26 5 5 3 4 4 5 4 4
27 5 5 5 4 5 5 5 4
28 4 5 5 5 5 4 4 4
29 4 4 4 5 5 3 3 5
30 4 4 4 5 5 5 5 5
31 5 4 4 5 5 4 4 4
32 5 4 4 5 4 4 4 4
33 4 5 3 3 4 4 4 4
34 4 4 4 4 4 4 4 4
35 5 4 4 4 4 4 4 4
36 5 4 5 5 5 4 5 4
37 4 4 4 5 4 4 4 4
38 3 5 4 5 5 4 5 3
39 3 4 4 3 3 4 5 5
40 4 4 4 3 5 5 5 5
41 5 5 4 3 4 4 5 4
42 5 4 5 4 4 4 5 5
43 5 5 5 5 5 5 5 5
44 5 4 5 5 5 5 5 5
45 5 5 3 5 5 4 5 5
46 5 4 5 5 5 5 5 5
47 5 5 5 5 5 4 5 4
48 5 5 4 5 5 4 5 4
49 5 5 4 5 5 5 4 4
50 4 4 4 5 4 4 4 4
51 3 5 5 3 3 5 4 4
52 5 4 4 3 5 4 5 5
53 4 4 4 3 5 5 5 5
54 5 5 5 5 5 5 5 4
55 5 5 3 4 5 5 4 4
56 4 4 5 5 4 4 4 4
57 5 5 5 5 5 4 5 4
58 5 5 5 5 5 4 5 4
59 4 4 4 5 4 4 4 4
60 4 4 4 5 4 4 4 4
61 4 3 4 3 3 4 4 4
62 5 3 3 2 4 4 4 4
63 5 4 4 4 3 4 4 4
64 4 5 4 4 4 4 4 3
65 5 4 4 4 4 4 4 4
66 5 5 4 4 4 4 4 3
67 5 4 4 5 5 4 4 4
68 5 5 4 4 5 4 5 4
69 4 4 4 5 4 4 4 4
70 4 4 5 5 4 4 4 4
71 5 4 4 5 4 4 4 4
72 4 4 4 5 4 4 5 4
73 5 5 4 5 4 4 4 4
74 4 4 3 5 4 4 4 4
75 4 4 4 5 4 4 4 4
76 5 4 4 4 4 4 4 4
77 4 4 3 4 3 3 3 2
78 4 4 4 5 4 4 4 3
79 5 4 4 5 4 4 4 4
80 4 4 4 4 3 4 3 3
81 5 5 3 4 4 5 4 4
82 5 5 5 4 5 5 5 4
83 4 5 5 5 5 4 4 4
84 4 4 4 5 5 3 3 5
85 4 4 4 5 5 5 5 5
86 5 4 4 5 5 4 4 4
87 5 4 4 5 4 4 4 4
88 4 5 3 3 4 4 4 4
89 4 4 4 4 4 4 4 4
90 5 4 4 4 4 4 4 4
91 5 4 5 5 5 4 5 4
92 4 4 4 5 4 4 4 4
93 3 5 4 5 5 4 5 3
94 3 4 4 3 3 4 5 5
95 4 4 4 3 5 5 5 5
96 5 5 4 3 4 4 5 4
97 5 4 5 4 4 4 5 5
98 5 5 5 5 5 5 5 5
99 5 4 5 5 5 5 5 5
100 5 5 3 5 5 4 5 5
101 5 4 5 5 5 5 5 5
102 5 5 5 5 5 4 5 4
103 5 5 4 5 5 4 5 4
104 5 5 4 5 5 5 4 4
105 4 4 4 5 4 4 4 4
106 3 5 5 3 3 5 4 4
107 5 4 4 3 5 4 5 5
108 4 4 4 3 5 5 5 5
109 5 5 5 5 5 5 5 4
110 5 5 3 4 5 5 4 4
494 476 454 484 474 460 476 448
4.49
4.33
4.13
4.40
4.31
4.18
4.33
4.07
Y
1 2 3 4 5 6 7
4 4 4 4 3 4 5
5 5 4 5 3 4 5
5 5 4 4 3 4 5
4 4 4 4 3 4 5
4 4 4 4 3 4 5
4 3 4 4 4 4 4
5 3 4 4 4 3 4
5 4 4 4 3 3 4
4 5 4 4 3 4 4
5 4 4 4 3 3 4
5 5 4 4 4 3 4
5 4 5 5 4 5 4
5 5 4 4 3 3 4
4 4 4 4 4 4 4
4 4 5 5 4 4 4
5 4 4 4 4 4 5
4 4 4 4 4 4 5
5 5 5 4 4 4 5
4 4 4 4 3 4 5
4 4 5 4 3 4 4
5 4 4 4 4 4 5
4 4 4 3 4 3 4
4 4 4 3 3 3 4
5 4 4 4 3 4 4
4 4 4 4 3 3 4
5 5 5 5 4 5 5
5 5 5 4 4 4 5
4 5 4 4 4 4 5
4 4 4 5 3 3 4
4 4 4 5 4 4 4
5 4 5 5 4 4 5
5 4 4 4 3 4 5
4 5 5 5 4 4 5
4 4 4 4 4 4 4
5 4 4 4 4 4 5
5 4 4 4 4 4 5
4 4 5 4 4 4 5
3 5 4 5 3 5 5
3 4 4 3 4 3 5
4 4 5 4 5 5 5
5 5 4 4 4 4 5
5 4 5 5 3 4 5
5 5 4 5 5 4 5
5 4 5 5 5 5 5
5 5 4 5 4 4 5
5 4 5 5 5 5 5
5 5 5 4 4 5 5
5 5 5 5 4 4 5
5 5 5 5 3 4 5
4 4 4 4 4 4 5
3 5 4 4 3 4 4
5 4 4 5 3 3 5
4 4 5 4 5 5 5
5 5 4 5 4 4 5
5 5 4 4 3 4 5
4 4 4 5 3 4 5
5 5 4 4 3 4 5
5 5 4 4 3 4 5
4 4 4 4 3 4 5
4 4 4 4 4 4 4
4 3 4 4 4 3 4
5 3 4 4 3 3 4
5 4 4 4 3 4 4
4 5 4 4 3 3 4
5 4 4 4 4 3 4
5 5 5 5 4 5 4
5 4 4 4 3 3 4
5 5 4 4 4 4 4
4 4 5 5 4 4 4
4 4 4 4 4 4 5
5 4 4 4 4 4 5
4 4 5 4 4 4 5
5 5 4 4 3 4 5
4 4 5 4 3 4 4
4 4 4 4 4 4 5
5 4 4 3 4 3 4
4 4 4 3 3 3 4
4 4 4 4 3 4 4
5 4 4 4 3 3 4
4 4 5 5 4 5 5
5 5 5 4 4 4 5
5 5 4 4 4 4 5
4 5 4 5 3 3 4
4 4 4 5 4 4 4
4 4 5 5 4 4 5
5 4 4 4 3 4 5
5 4 5 5 4 4 5
4 5 4 4 4 4 4
4 4 4 4 4 4 5
5 4 4 4 4 4 5
5 4 5 4 4 4 5
4 4 4 5 3 5 5
3 5 4 3 4 3 5
3 4 5 4 5 5 5
4 4 4 4 4 4 5
5 5 5 5 3 4 5
5 4 4 5 5 4 5
5 5 5 5 5 5 5
5 4 4 5 4 4 5
5 5 5 5 5 5 5
5 4 5 4 4 5 5
5 5 5 5 4 4 5
5 5 5 5 3 4 5
5 5 4 4 4 4 5
4 4 4 4 3 4 4
3 5 4 5 3 3 5
5 4 5 4 5 5 5
4 4 4 5 4 4 5
5 5 5 4 5 5 5
5 5 4 5 4 4 5
494 476 475 471 409 435 512
4.49
4.33
4.32
4.28
3.72
3.95
4.65
Frequencies
Notes
Output Created 10-MAR-2016 05:56:29
Comments
Input
Data D:\agung\x.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 110
Missing Value Handling
Definition of Missing User-defined missing values are treated as
missing.
Cases Used Statistics are based on all cases with valid
data.
Syntax
FREQUENCIES VARIABLES=VAR00001
VAR00002 VAR00003 VAR00004
VAR00005 VAR00006 VAR00007
VAR00008 jumlah
/ORDER=ANALYSIS.
Resources Processor Time 00:00:00.02
Elapsed Time 00:00:00.02
Statistics
VAR0000
1
VAR0000
2
VAR0000
3
VAR0000
4
VAR0000
5
VAR0000
6
VAR0000
7
VAR0000
8
jumlah
N Valid 110 110 110 110 110 110 110 110 110
Missing 0 0 0 0 0 0 0 0 0
Frequency Table
VAR00001
Frequency Percent Valid Percent Cumulative
Percent
Valid
3.00 6 5.5 5.5 5.5
4.00 44 40.0 40.0 45.5
5.00 60 54.5 54.5 100.0
Total 110 100.0 100.0
VAR00002
Frequency Percent Valid Percent Cumulative
Percent
Valid
3.00 4 3.6 3.6 3.6
4.00 66 60.0 60.0 63.6
5.00 40 36.4 36.4 100.0
Total 110 100.0 100.0
VAR00003
Frequency Percent Valid Percent Cumulative
Percent
Valid
3.00 14 12.7 12.7 12.7
4.00 68 61.8 61.8 74.5
5.00 28 25.5 25.5 100.0
Total 110 100.0 100.0
VAR00004
Frequency Percent Valid Percent Cumulative
Percent
Valid
2.00 2 1.8 1.8 1.8
3.00 16 14.5 14.5 16.4
4.00 28 25.5 25.5 41.8
5.00 64 58.2 58.2 100.0
Total 110 100.0 100.0
VAR00005
Frequency Percent Valid Percent Cumulative
Percent
Valid
3.00 12 10.9 10.9 10.9
4.00 52 47.3 47.3 58.2
5.00 46 41.8 41.8 100.0
Total 110 100.0 100.0
VAR00006
Frequency Percent Valid Percent Cumulative
Percent
Valid
3.00 4 3.6 3.6 3.6
4.00 82 74.5 74.5 78.2
5.00 24 21.8 21.8 100.0
Total 110 100.0 100.0
VAR00007
Frequency Percent Valid Percent Cumulative
Percent
Valid
3.00 6 5.5 5.5 5.5
4.00 62 56.4 56.4 61.8
5.00 42 38.2 38.2 100.0
Total 110 100.0 100.0
VAR00008
Frequency Percent Valid Percent Cumulative
Percent
Valid
2.00 2 1.8 1.8 1.8
3.00 10 9.1 9.1 10.9
4.00 76 69.1 69.1 80.0
5.00 22 20.0 20.0 100.0
Total 110 100.0 100.0
jumlah
Frequency Percent Valid Percent Cumulative
Percent
Valid
26.00 2 1.8 1.8 1.8
29.00 6 5.5 5.5 7.3
31.00 4 3.6 3.6 10.9
32.00 12 10.9 10.9 21.8
33.00 22 20.0 20.0 41.8
34.00 18 16.4 16.4 58.2
35.00 14 12.7 12.7 70.9
36.00 6 5.5 5.5 76.4
37.00 10 9.1 9.1 85.5
38.00 8 7.3 7.3 92.7
39.00 6 5.5 5.5 98.2
40.00 2 1.8 1.8 100.0
Total 110 100.0 100.0
Frequencies
Notes
Output Created 10-MAR-2016 05:58:26
Comments
Input
Data D:\agung\y.sav
Active Dataset DataSet2
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 110
Missing Value Handling
Definition of Missing User-defined missing values are treated as
missing.
Cases Used Statistics are based on all cases with valid
data.
Syntax
FREQUENCIES VARIABLES=VAR00001
VAR00002 VAR00003 VAR00004
VAR00005 VAR00006 VAR00007 jumlah
/ORDER=ANALYSIS.
Resources Processor Time 00:00:00.02
Elapsed Time 00:00:00.02
Statistics
VAR0000
1
VAR00002 VAR00003 VAR00004 VAR00005 VAR00006 VAR00007 jumlah
N Valid 110 110 110 110 110 110 110 110
Missing 0 0 0 0 0 0 0 0
Frequency Table
VAR00001
Frequency Percent Valid Percent Cumulative
Percent
Valid
3.00 6 5.5 5.5 5.5
4.00 44 40.0 40.0 45.5
5.00 60 54.5 54.5 100.0
Total 110 100.0 100.0
VAR00002
Frequency Percent Valid Percent Cumulative
Percent
Valid
3.00 4 3.6 3.6 3.6
4.00 66 60.0 60.0 63.6
5.00 40 36.4 36.4 100.0
Total 110 100.0 100.0
VAR00003
Frequency Percent Valid Percent Cumulative
Percent
Valid 4.00 75 68.2 68.2 68.2
5.00 35 31.8 31.8 100.0
Total 110 100.0 100.0
VAR00004
Frequency Percent Valid Percent Cumulative
Percent
Valid
3.00 6 5.5 5.5 5.5
4.00 67 60.9 60.9 66.4
5.00 37 33.6 33.6 100.0
Total 110 100.0 100.0
VAR00005
Frequency Percent Valid Percent Cumulative
Percent
Valid
3.00 42 38.2 38.2 38.2
4.00 57 51.8 51.8 90.0
5.00 11 10.0 10.0 100.0
Total 110 100.0 100.0
VAR00006
Frequency Percent Valid Percent Cumulative
Percent
Valid
3.00 22 20.0 20.0 20.0
4.00 71 64.5 64.5 84.5
5.00 17 15.5 15.5 100.0
Total 110 100.0 100.0
VAR00007
Frequency Percent Valid Percent Cumulative
Percent
Valid
4.00 38 34.5 34.5 34.5
5.00 72 65.5 65.5 100.0
Total 110 100.0 100.0
jumlah
Frequency Percent Valid Percent Cumulative
Percent
Valid
25.00 2 1.8 1.8 1.8
26.00 5 4.5 4.5 6.4
27.00 13 11.8 11.8 18.2
28.00 17 15.5 15.5 33.6
29.00 14 12.7 12.7 46.4
30.00 20 18.2 18.2 64.5
31.00 9 8.2 8.2 72.7
32.00 18 16.4 16.4 89.1
33.00 6 5.5 5.5 94.5
34.00 4 3.6 3.6 98.2
35.00 2 1.8 1.8 100.0
Total 110 100.0 100.0
Reliability
Notes
Output Created 09-MAR-2016 19:37:41
Comments
Input
Data D:\agung\x.sav
Active Dataset DataSet0
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 110
Matrix Input
Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.
Cases Used
Statistics are based on all cases with valid
data for all variables in the procedure.
Syntax
RELIABILITY
/VARIABLES=VAR00001 VAR00002
VAR00003 VAR00004 VAR00005
VAR00006 VAR00007 VAR00008 jumlah
/SCALE('ALL VARIABLES') ALL
/MODEL=ALPHA
/SUMMARY=TOTAL.
Resources Processor Time 00:00:00.00
Elapsed Time 00:00:00.01
Scale: ALL VARIABLES
Case Processing Summary
N %
Cases
Valid 110 100.0
Excludeda 0 .0
Total 110 100.0
a. Listwise deletion based on all variables in the
procedure.
Reliability Statistics
Cronbach's Alpha N of Items
.735 9
Item-Total Statistics
Scale Mean if
Item Deleted
Scale Variance if
Item Deleted
Corrected Item-
Total Correlation
Cronbach's Alpha
if Item Deleted
VAR00001 63.9818 28.422 .409 .720
VAR00002 64.1455 28.786 .399 .723
VAR00003 64.3455 27.788 .508 .711
VAR00004 64.0727 27.885 .339 .724
VAR00005 64.1636 25.826 .767 .681
VAR00006 64.2909 28.795 .471 .720
VAR00007 64.1455 27.135 .656 .699
VAR00008 64.4000 28.242 .439 .717
jumlah 34.2364 7.852 1.000 .702
DATASET ACTIVATE DataSet1.
RELIABILITY
/VARIABLES=VAR00001 VAR00002 VAR00003 VAR00004 VAR00005 VAR00006
VAR00007 jumlah
/SCALE('ALL VARIABLES') ALL
/MODEL=ALPHA
/SUMMARY=TOTAL.
Reliability
Notes
Output Created 09-MAR-2016 19:37:59
Comments
Input
Data D:\agung\y.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 110
Matrix Input
Missing Value Handling
Definition of Missing User-defined missing values are treated as
missing.
Cases Used Statistics are based on all cases with valid
data for all variables in the procedure.
Syntax
RELIABILITY
/VARIABLES=VAR00001 VAR00002
VAR00003 VAR00004 VAR00005
VAR00006 VAR00007 jumlah
/SCALE('ALL VARIABLES') ALL
/MODEL=ALPHA
/SUMMARY=TOTAL.
Resources Processor Time 00:00:00.02
Elapsed Time 00:00:00.04
Scale: ALL VARIABLES
Case Processing Summary
N %
Cases
Valid 110 100.0
Excludeda 0 .0
Total 110 100.0
a. Listwise deletion based on all variables in the
procedure.
Reliability Statistics
Cronbach's Alpha N of Items
.738 8
Item-Total Statistics
Scale Mean if
Item Deleted
Scale Variance if
Item Deleted
Corrected Item-
Total Correlation
Cronbach's Alpha
if Item Deleted
VAR00001 55.0000 18.752 .352 .728
VAR00002 55.1636 19.001 .349 .729
VAR00003 55.1727 18.309 .605 .708
VAR00004 55.2091 18.222 .504 .712
VAR00005 55.7727 17.902 .490 .710
VAR00006 55.5364 17.205 .685 .688
VAR00007 54.8364 18.487 .544 .713
jumlah 29.7455 5.237 1.000 .681
DATASET ACTIVATE DataSet2.
CORRELATIONS
/VARIABLES=x y
/PRINT=TWOTAIL NOSIG
/MISSING=PAIRWISE.
Correlations
Notes
Output Created 09-MAR-2016 19:38:15
Comments
Input
Data D:\agung\xy.sav
Active Dataset DataSet2
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 110
Missing Value Handling
Definition of Missing User-defined missing values are treated as
missing.
Cases Used
Statistics for each pair of variables are
based on all the cases with valid data for
that pair.
Syntax
CORRELATIONS
/VARIABLES=x y
/PRINT=TWOTAIL NOSIG
/MISSING=PAIRWISE.
Resources Processor Time 00:00:00.09
Elapsed Time 00:00:00.10
Correlations
keadilan pajak keparuhan wajib
pajak
keadilan pajak
Pearson Correlation 1 .686**
Sig. (2-tailed) .000
N 110 110
kepatuhan wajib pajak
Pearson Correlation .686** 1
Sig. (2-tailed) .000
N 110 110
**. Correlation is significant at the 0.01 level (2-tailed).
NONPAR CORR
/VARIABLES=x y
/PRINT=SPEARMAN TWOTAIL NOSIG
/MISSING=PAIRWISE.
Nonparametric Correlations
Notes
Output Created 09-MAR-2016 19:38:16
Comments
Input
Data D:\agung\xy.sav
Active Dataset DataSet2
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 110
Missing Value Handling
Definition of Missing User-defined missing values are treated as
missing.
Cases Used
Statistics for each pair of variables are
based on all the cases with valid data for
that pair.
Syntax
NONPAR CORR
/VARIABLES=x y
/PRINT=SPEARMAN TWOTAIL NOSIG
/MISSING=PAIRWISE.
Resources
Processor Time 00:00:00.00
Elapsed Time 00:00:00.01
Number of Cases Allowed 174762 casesa
a. Based on availability of workspace memory
Correlations
keadilan pajak keparuhan wajib
pajak
Spearman's rho keadilan pajak Correlation Coefficient 1.000 .683**
Sig. (2-tailed) . .000
N 110 110
kepatuhan wajib pajak
Correlation Coefficient .683** 1.000
Sig. (2-tailed) .000 .
N 110 110
**. Correlation is significant at the 0.01 level (2-tailed).
REGRESSION
/DESCRIPTIVES MEAN STDDEV CORR SIG N
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA COLLIN TOL ZPP
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT y
/METHOD=ENTER x
/SCATTERPLOT=(*ZRESID ,*ZPRED)
/RESIDUALS DURBIN HISTOGRAM(ZRESID) NORMPROB(ZRESID).
Regression
Notes
Output Created 09-MAR-2016 19:38:26
Comments
Input
Data D:\agung\xy.sav
Active Dataset DataSet2
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 110
Missing Value Handling
Definition of Missing User-defined missing values are treated as
missing.
Cases Used Statistics are based on cases with no
missing values for any variable used.
Syntax
REGRESSION
/DESCRIPTIVES MEAN STDDEV CORR
SIG N
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA
COLLIN TOL ZPP
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT y
/METHOD=ENTER x
/SCATTERPLOT=(*ZRESID ,*ZPRED)
/RESIDUALS DURBIN
HISTOGRAM(ZRESID)
NORMPROB(ZRESID).
Resources
Processor Time 00:00:00.83
Elapsed Time 00:00:00.76
Memory Required 1356 bytes
Additional Memory Required for
Residual Plots
912 bytes
Descriptive Statistics
Mean Std. Deviation N
kepatuhan wajib pajak 29.7455 2.28853 110
keadilan pajak 34.2364 2.80212 110
Correlations
keparuhan wajib
pajak
keadilan pajak
Pearson Correlation kepatuhan wajib pajak 1.000 .686
keadilan pajak .686 1.000
Sig. (1-tailed) kepatuhan wajib pajak . .000
keadilan pajak .000 .
N kepatuhan wajib pajak 110 110
keadilan pajak 110 110
Variables Entered/Removeda
Model Variables Entered Variables
Removed
Method
1 keadilan pajakb . Enter
a. Dependent Variable: kepatuhan wajib pajak
b. All requested variables entered.
Model Summaryb
Model R R Square Adjusted R
Square
Std. Error of the
Estimate
Durbin-Watson
1 .686a .471 .466 1.67248 2.081
a. Predictors: (Constant), keadilan pajak
b. Dependent Variable: kepatuhan wajib pajak
ANOVAa
Model Sum of Squares df Mean Square F Sig.
1
Regression 268.777 1 268.777 96.088 .000b
Residual 302.096 108 2.797
Total 570.873 109
a. Dependent Variable: kepatuhan wajib pajak
b. Predictors: (Constant), keadilan pajak
Coefficientsa
Model Unstandardized Coefficients Standardized Coefficients t Sig. Correlations Collinearity
Statistics
B Std. Error Beta Zero-order Partial Part Toleranc
e
VIF
1
(Const
ant)
10.560 1.964 5.377 .000
keadila
n pajak
.560 .057 .686 9.802 .000 .686 .686 .686 1.000 1.00
0
a. Dependent Variable: kepatuhan wajib pajak
Collinearity Diagnosticsa
Model Dimension Eigenvalue Condition Index Variance Proportions
(Constant) keadilan pajak
1 1 1.997 1.000 .00 .00
2 .003 24.589 1.00 1.00
a. Dependent Variable: kepatuhan wajib pajak
Residuals Statisticsa
Minimum Maximum Mean Std. Deviation N
Predicted Value 25.1298 32.9754 29.7455 1.57030 110
Residual -3.49220 5.18899 .00000 1.66479 110
Std. Predicted Value -2.939 2.057 .000 1.000 110
Std. Residual -2.088 3.103 .000 .995 110
a. Dependent Variable: kepatuhan wajib pajak
Charts