daftar pertanyaan komitmen organisasi ( instrumen … · 57 daftar pertanyaan komitmen organisasi (...
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57
DAFTAR PERTANYAAN
Komitmen Organisasi
( Instrumen Mowday et al. ,1979 dalam R.A Supriyono 2004 )
NO PERTANYAAN STS TS ATS R AS S SS
1 Saya berharap dapat berusaha keras yang secara formal diharapkan untuk membantu kesuksesan organisasi.
2 Saya membanggakan kepada teman-teman saya bahwa organisasi saya adalah sebagai suatu organisasi yang hebat untuk bekerja.
3 Saya bersedia menerima semua tipe tugas yang dibebankan kepada saya untuk terus bekerja demi organisasi.
4 Saya berpendapat bahwa nilai-nilai yang ingin saya capai serupa dengan nilai-nilai organisasi.
5 Saya dengan bangga menyatakan kepada pihak lain bahwa saya adalah bagian dari organisasi tempat kerja saya.
6 Organisasi tempat bekerja saya sesungguhnya menimbulkan inspirasi bagi saya mengenai cara-cara terbaik untuk melaksanakan tugas saya.
7 Saya sangat senang telah memilih organisasi ini sebagai tempat kerja saya dibanding organisasi lainnya yang saya pertimbangkan saat mulai bekerja.
8 Bagi saya organisasi ini merupakan organisasi terbaik untuk bekerja dari pada semua organisasi lainnya.
9 Saya sungguh memperhatikan nasib organisasi.
58
Partisipasi Penganggaran
( Instrumen Milani, 1975 dalam R.A Supriyono 2004 )
NO PERTANYAAN STS TS ATS R AS S SS
1 Manajer sering terlibat dalam pengusulan dan penyusunan anggaran bidang yang menjadi tanggung jawabnya.
2 Tingkat kelogisan alasan yang diberikan oleh atasan para manajer dalam merevisi anggaran yang mereka usulkan atau susun.
3 Manajer sering mengajak atasannya mendiskusikan anggaran yang diusulkannya.
4 Manajer memiliki pengaruh dalam penentuan jumlah anggaran final yang menjadi tanggung jawabnya.
5 Manajer merasa mempunyai kontribusi penting terhadap anggaran yang menjadi tanggung jawabnya.
6 Atasan manajer sering meminta pendapat atau usulan dari manajer selama penyusunan anggaran yang menjadi tanggung jawabnya.
59
Senjangan Anggaran
( Instrumen Dunk, 1993 dalam Risniora 2005 )
NO PERTANYAAN STS TS ATS R AS S SS 1 Standar yang ditetapkan dalam
anggaran menghasilkan produktivitas yang rendah diwilayah tanggung jawab saya.
2 Anggaran dibidang yang menjadi tanggung jawab saya dapat dicapai dengan mudah.
3 Adanya keterbatasan jumlah anggaran yang disediakan, saya tidak harus memonitor setiap pengeluaran yang menjadi tanggung jawab saya.
4 Anggaran yang menjadi tanggung jawab saya tidak begitu tinggi tuntutannya.
5 Target anggaran tidak menyebabkan saya memperhatikan peningkatan efisiensi bidang yang menjadi tanggung jawab saya.
6 Sasaran yang dijabarkan dalam anggaran sangat susah untuk dicapai atau direalisasikan.
Keterlibatan Dalam Pekerjaan
( Instrumen Kanungo, 1982 dalam Risniora 2005 )
NO PERTANYAAN STS TS ATS R AS S SS
1 Pekerjaan bagiku mempunyai arti lebih dari sekedar uang.
2 Kepuasan utama dalam hidupku datang dari pekerjaan.
3 Saya akan tetap bekerja walaupun saya tidak memerlukan uang.
4 Hal terpenting yang terjadi dalam hidupku berkaitan dengan pekerjaanku.
5 Saya akan terus bekerja lembur untuk menyelesaikan pekerjaan walaupun untuk itu tidak dibayar.
6 Beberapa jam pertama bekerja bagiku terasa sekejap.
60
Regression
Descriptive Statistics
35,40 3,217 5835,62 3,787 58
SAPA
Mean Std. Deviation N
Correlations
1,000 ,725,725 1,000
. ,000,000 .
58 5858 58
SAPASAPASAPA
Pearson Correlation
Sig. (1-tailed)
N
SA PA
Variables Entered/Removedb
PAa . EnterModel1
VariablesEntered
VariablesRemoved Method
All requested variables entered.a.
Dependent Variable: SAb.
Model Summaryb
,725a ,526 ,518 2,234 1,011Model1
R R SquareAdjustedR Square
Std. Error ofthe Estimate
Durbin-Watson
Predictors: (Constant), PAa.
Dependent Variable: SAb.
ANOVAb
310,324 1 310,324 62,164 ,000a
279,555 56 4,992589,879 57
RegressionResidualTotal
Model1
Sum ofSquares df Mean Square F Sig.
Predictors: (Constant), PAa.
Dependent Variable: SAb.
61
Coefficientsa
13,452 2,799 4,807 ,000,616 ,078 ,725 7,884 ,000 1,000 1,000
(Constant)PA
Model1
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig. Tolerance VIFCollinearity Statistics
Dependent Variable: SAa.
3210-1-2-3
Regression Standardized Residual
20
15
10
5
0
Freq
uenc
y
Mean = 1.22E-15Std. Dev. = 0.991N = 58
Dependent Variable: SA
Histogram
1.00.80.60.40.20.0
Observed Cum Prob
1.0
0.8
0.6
0.4
0.2
0.0
Exp
ecte
d C
um P
rob
Dependent Variable: SA
Normal P-P Plot of Regression Standardized Residual
62
420-2-4
Regression Studentized Residual
2
1
0
-1
-2
Reg
ress
ion
Sta
ndar
dize
d P
redi
cted
Val
ueDependent Variable: SA
Scatterplot
Regression
Variables Entered/Removedb
PAa . EnterModel1
VariablesEntered
VariablesRemoved Method
All requested variables entered.a.
Dependent Variable: Abs1b.
Model Summary
,065a ,004 -,014 1,29239159Model1
R R SquareAdjustedR Square
Std. Error ofthe Estimate
Predictors: (Constant), PAa.
ANOVAb
,398 1 ,398 ,238 ,628a
93,535 56 1,67093,933 57
RegressionResidualTotal
Model1
Sum ofSquares df Mean Square F Sig.
Predictors: (Constant), PAa.
Dependent Variable: Abs1b.
63
Coefficientsa
2,574 1,619 1,590 ,117-,022 ,045 -,065 -,488 ,628
(Constant)PA
Model1
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig.
Dependent Variable: Abs1a.
64
NPar Tests
One-Sample Kolmogorov-Smirnov Test
58,0000000
2,21460594,184,184
-,1141,403
,039
NMeanStd. Deviation
Normal Parameters a,b
AbsolutePositiveNegative
Most ExtremeDifferences
Kolmogorov-Smirnov ZAsymp. Sig. (2-tailed)
Unstandardized Residual
Test distribution is Normal.a.
Calculated from data.b.
65
Regression
Descriptive Statistics
35,40 3,217 5835,62 3,787 5818,03 5,221 58
629,41 138,112 58
SAPAKOPA.KO
Mean Std. Deviation N
Correlations
1,000 ,725 -,784 -,634,725 1,000 -,668 -,357
-,784 -,668 1,000 ,925-,634 -,357 ,925 1,000
. ,000 ,000 ,000,000 . ,000 ,003,000 ,000 . ,000,000 ,003 ,000 .
58 58 58 5858 58 58 5858 58 58 5858 58 58 58
SAPAKOPA.KOSAPAKOPA.KOSAPAKOPA.KO
Pearson Correlation
Sig. (1-tailed)
N
SA PA KO PA.KO
Variables Entered/Removedb
PA.KO, PA,KO
a . Enter
Model1
VariablesEntered
VariablesRemoved Method
All requested variables entered.a.
Dependent Variable: SAb.
Model Summaryb
,830a ,689 ,671 1,844 ,967Model1
R R SquareAdjustedR Square
Std. Error ofthe Estimate
Durbin-Watson
Predictors: (Constant), PA.KO, PA, KOa.
Dependent Variable: SAb.
66
ANOVAb
406,249 3 135,416 39,822 ,000a
183,630 54 3,401589,879 57
RegressionResidualTotal
Model1
Sum ofSquares df Mean Square F Sig.
Predictors: (Constant), PA.KO, PA, KOa.
Dependent Variable: SAb.
Coefficientsa
28,293 7,971 3,549 ,001,372 ,225 ,438 1,656 ,103 ,725 ,220 ,126 ,082 12,140
-,213 ,401 -,345 -,531 ,597 -,784 -,072 -,040 ,014 73,309-,004 ,012 -,158 -,305 ,761 -,634 -,041 -,023 ,022 46,508
(Constant)PAKOPA.KO
Model1
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig. Zero-order Partial PartCorrelations
Tolerance VIFCollinearity Statistics
Dependent Variable: SAa.
67
3210-1-2
Regression Standardized Residual
14
12
10
8
6
4
2
0
Freq
uenc
y
Mean = -2.43E-16Std. Dev. = 0.973N = 58
Dependent Variable: SA
Histogram
1.00.80.60.40.20.0
Observed Cum Prob
1.0
0.8
0.6
0.4
0.2
0.0
Exp
ecte
d C
um P
rob
Dependent Variable: SA
Normal P-P Plot of Regression Standardized Residual
68
210-1-2
Regression Studentized Residual
2
1
0
-1
-2
-3
Reg
ress
ion
Sta
ndar
dize
d P
redi
cted
Val
ue
Dependent Variable: SA
Scatterplot
Regression
Variables Entered/Removedb
PA.KO, PA,KO
a . Enter
Model1
VariablesEntered
VariablesRemoved Method
All requested variables entered.a.
Dependent Variable: Abs2b.
Model Summaryb
,362a ,131 ,083 ,93988727 1,445Model1
R R SquareAdjustedR Square
Std. Error ofthe Estimate
Durbin-Watson
Predictors: (Constant), PA.KO, PA, KOa.
Dependent Variable: Abs2b.
ANOVAb
7,204 3 2,401 2,718 ,053a
47,703 54 ,88354,907 57
RegressionResidualTotal
Model1
Sum ofSquares df Mean Square F Sig.
Predictors: (Constant), PA.KO, PA, KOa.
Dependent Variable: Abs2b.
69
Coefficientsa
3,919 4,063 ,965 ,339-,058 ,115 -,224 -,506 ,615-,239 ,204 -1,272 -1,172 ,247,006 ,006 ,883 1,020 ,312
(Constant)PAKOPA.KO
Model1
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig.
Dependent Variable: Abs2a.
70
NPar Tests
One-Sample Kolmogorov-Smirnov Test
58,0000000
1,79487496,135,135
-,0691,031
,238
NMeanStd. Deviation
Normal Parameters a,b
AbsolutePositiveNegative
Most ExtremeDifferences
Kolmogorov-Smirnov ZAsymp. Sig. (2-tailed)
Unstandardized Residual
Test distribution is Normal.a.
Calculated from data.b.
71
Regression
Descriptive Statistics
35,40 3,217 5835,62 3,787 58
629,41 138,112 58
SAPAPA.KO
Mean Std. Deviation N
Correlations
1,000 ,725 -,634,725 1,000 -,357
-,634 -,357 1,000. ,000 ,000
,000 . ,003,000 ,003 .
58 58 5858 58 5858 58 58
SAPAPA.KOSAPAPA.KOSAPAPA.KO
Pearson Correlation
Sig. (1-tailed)
N
SA PA PA.KO
Variables Entered/Removedb
PA.KO, PAa . EnterModel1
VariablesEntered
VariablesRemoved Method
All requested variables entered.a.
Dependent Variable: SAb.
Model Summaryb
,829a ,687 ,676 1,832 ,933Model1
R R SquareAdjustedR Square
Std. Error ofthe Estimate
Durbin-Watson
Predictors: (Constant), PA.KO, PAa.
Dependent Variable: SAb.
72
ANOVAb
405,290 2 202,645 60,380 ,000a
184,589 55 3,356589,879 57
RegressionResidualTotal
Model1
Sum ofSquares df Mean Square F Sig.
Predictors: (Constant), PA.KO, PAa.
Dependent Variable: SAb.
Coefficientsa
24,393 3,082 7,916 ,000,486 ,069 ,572 7,081 ,000 ,725 ,691 ,534 ,872 1,146
-,010 ,002 -,430 -5,319 ,000 -,634 -,583 -,401 ,872 1,146
(Constant)PAPA.KO
Model1
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig. Zero-order Partial PartCorrelations
Tolerance VIFCollinearity Statistics
Dependent Variable: SAa.
73
3210-1-2
Regression Standardized Residual
20
15
10
5
0
Freq
uenc
y
Mean = 4.54E-16Std. Dev. = 0.982N = 58
Dependent Variable: SA
Histogram
1.00.80.60.40.20.0
Observed Cum Prob
1.0
0.8
0.6
0.4
0.2
0.0
Exp
ecte
d C
um P
rob
Dependent Variable: SA
Normal P-P Plot of Regression Standardized Residual
74
3210-1
Regression Studentized Residual
4
2
0
-2
-4
Reg
ress
ion
Sta
ndar
dize
d P
redi
cted
Val
ueDependent Variable: SA
Scatterplot
Regression
Variables Entered/Removedb
PA.KO, PAa . EnterModel1
VariablesEntered
VariablesRemoved Method
All requested variables entered.a.
Dependent Variable: Abs3b.
Model Summary
,302a ,091 ,058 ,99335552Model1
R R SquareAdjustedR Square
Std. Error ofthe Estimate
Predictors: (Constant), PA.KO, PAa.
ANOVAb
5,444 2 2,722 2,758 ,072a
54,272 55 ,98759,715 57
RegressionResidualTotal
Model1
Sum ofSquares df Mean Square F Sig.
Predictors: (Constant), PA.KO, PAa.
Dependent Variable: Abs3b.
75
Coefficientsa
-,055 1,671 -,033 ,974,061 ,037 ,225 1,632 ,108
-,001 ,001 -,137 -,995 ,324
(Constant)PAPA.KO
Model1
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig.
Dependent Variable: Abs3a.
76
NPar Tests
One-Sample Kolmogorov-Smirnov Test
58,0000000
1,79955764,138,138
-,0701,049
,221
NMeanStd. Deviation
Normal Parameters a,b
AbsolutePositiveNegative
Most ExtremeDifferences
Kolmogorov-Smirnov ZAsymp. Sig. (2-tailed)
Unstandardized Residual
Test distribution is Normal.a.
Calculated from data.b.
77
Regression
Descriptive Statistics
35,40 3,217 5835,59 3,765 58
SAKK
Mean Std. Deviation N
Correlations
1,000 ,370,370 1,000
. ,002,002 .
58 5858 58
SAKKSAKKSAKK
Pearson Correlation
Sig. (1-tailed)
N
SA KK
Variables Entered/Removedb
KKa . EnterModel1
VariablesEntered
VariablesRemoved Method
All requested variables entered.a.
Dependent Variable: SAb.
Model Summaryb
,370a ,137 ,122 3,015 1,368Model1
R R SquareAdjustedR Square
Std. Error ofthe Estimate
Durbin-Watson
Predictors: (Constant), KKa.
Dependent Variable: SAb.
ANOVAb
80,796 1 80,796 8,888 ,004a
509,083 56 9,091589,879 57
RegressionResidualTotal
Model1
Sum ofSquares df Mean Square F Sig.
Predictors: (Constant), KKa.
Dependent Variable: SAb.
78
Coefficientsa
24,144 3,795 6,362 ,000,316 ,106 ,370 2,981 ,004 1,000 1,000
(Constant)KK
Model1
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig. Tolerance VIFCollinearity Statistics
Dependent Variable: SAa.
3210-1-2-3
Regression Standardized Residual
20
15
10
5
0
Freq
uenc
y
Mean = 7.69E-16Std. Dev. = 0.991N = 58
Dependent Variable: SA
Histogram
1.00.80.60.40.20.0
Observed Cum Prob
1.0
0.8
0.6
0.4
0.2
0.0
Exp
ecte
d C
um P
rob
Dependent Variable: SA
Normal P-P Plot of Regression Standardized Residual
79
3210-1-2-3
Regression Studentized Residual
2
1
0
-1
-2
Reg
ress
ion
Sta
ndar
dize
d P
redi
cted
Val
ueDependent Variable: SA
Scatterplot
Regression
Variables Entered/Removedb
KKa . EnterModel1
VariablesEntered
VariablesRemoved Method
All requested variables entered.a.
Dependent Variable: Abs4b.
Model Summary
,182a ,033 ,016 1,83016270Model1
R R SquareAdjustedR Square
Std. Error ofthe Estimate
Predictors: (Constant), KKa.
ANOVAb
6,393 1 6,393 1,909 ,173a
187,572 56 3,349193,965 57
RegressionResidualTotal
Model1
Sum ofSquares df Mean Square F Sig.
Predictors: (Constant), KKa.
Dependent Variable: Abs4b.
80
Coefficientsa
-,834 2,304 -,362 ,719,089 ,064 ,182 1,382 ,173
(Constant)KK
Model1
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig.
Dependent Variable: Abs4a.
81
NPar Tests
One-Sample Kolmogorov-Smirnov Test
58,0000000
2,98852458,108,080
-,108,821,511
NMeanStd. Deviation
Normal Parameters a,b
AbsolutePositiveNegative
Most ExtremeDifferences
Kolmogorov-Smirnov ZAsymp. Sig. (2-tailed)
Unstandardized Residual
Test distribution is Normal.a.
Calculated from data.b.
82
Regression
Descriptive Statistics
35,40 3,217 5835,59 3,765 5818,03 5,221 58
640,88 197,381 58
SAKKKOKK.KO
Mean Std. Deviation N
Correlations
1,000 ,370 -,784 -,636,370 1,000 -,047 ,287
-,784 -,047 1,000 ,940-,636 ,287 ,940 1,000
. ,002 ,000 ,000,002 . ,364 ,015,000 ,364 . ,000,000 ,015 ,000 .
58 58 58 5858 58 58 5858 58 58 5858 58 58 58
SAKKKOKK.KOSAKKKOKK.KOSAKKKOKK.KO
Pearson Correlation
Sig. (1-tailed)
N
SA KK KO KK.KO
Variables Entered/Removedb
KK.KO, KK,KO
a . Enter
Model1
VariablesEntered
VariablesRemoved Method
All requested variables entered.a.
Dependent Variable: SAb.
Model Summaryb
,859a ,739 ,724 1,690 1,687Model1
R R SquareAdjustedR Square
Std. Error ofthe Estimate
Durbin-Watson
Predictors: (Constant), KK.KO, KK, KOa.
Dependent Variable: SAb.
83
ANOVAb
435,728 3 145,243 50,879 ,000a
154,152 54 2,855589,879 57
RegressionResidualTotal
Model1
Sum ofSquares df Mean Square F Sig.
Predictors: (Constant), KK.KO, KK, KOa.
Dependent Variable: SAb.
Coefficientsa
20,080 8,927 2,249 ,029,664 ,246 ,777 2,703 ,009 ,370 ,345 ,188 ,059 17,085,313 ,497 ,508 ,629 ,532 -,784 ,085 ,044 ,007 134,714
-,022 ,014 -1,336 -1,587 ,118 -,636 -,211 -,110 ,007 146,476
(Constant)KKKOKK.KO
Model1
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig. Zero-order Partial PartCorrelations
Tolerance VIFCollinearity Statistics
Dependent Variable: SAa.
84
43210-1-2-3
Regression Standardized Residual
20
15
10
5
0
Freq
uenc
y
Mean = 1.89E-15Std. Dev. = 0.973N = 58
Dependent Variable: SA
Histogram
1.00.80.60.40.20.0
Observed Cum Prob
1.0
0.8
0.6
0.4
0.2
0.0
Exp
ecte
d C
um P
rob
Dependent Variable: SA
Normal P-P Plot of Regression Standardized Residual
85
43210-1-2-3
Regression Studentized Residual
2
1
0
-1
-2
Reg
ress
ion
Sta
ndar
dize
d P
redi
cted
Val
ueDependent Variable: SA
Scatterplot
Regression
Variables Entered/Removedb
KK.KO, KK,KO
a . Enter
Model1
VariablesEntered
VariablesRemoved Method
All requested variables entered.a.
Dependent Variable: Abs5b.
Model Summary
,263a ,069 ,017 1,04637596Model1
R R SquareAdjustedR Square
Std. Error ofthe Estimate
Predictors: (Constant), KK.KO, KK, KOa.
ANOVAb
4,384 3 1,461 1,335 ,273a
59,125 54 1,09563,509 57
RegressionResidualTotal
Model1
Sum ofSquares df Mean Square F Sig.
Predictors: (Constant), KK.KO, KK, KOa.
Dependent Variable: Abs5b.
86
Coefficientsa
3,483 5,529 ,630 ,531-,039 ,152 -,140 -,259 ,797-,198 ,308 -,980 -,643 ,523,004 ,008 ,800 ,503 ,617
(Constant)KKKOKK.KO
Model1
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig.
Dependent Variable: Abs5a.
87
NPar Tests
One-Sample Kolmogorov-Smirnov Test
58,0000000
1,64451122,152,152
-,1181,160
,135
NMeanStd. Deviation
Normal Parameters a,b
AbsolutePositiveNegative
Most ExtremeDifferences
Kolmogorov-Smirnov ZAsymp. Sig. (2-tailed)
Unstandardized Residual
Test distribution is Normal.a.
Calculated from data.b.
88
Regression
Descriptive Statistics
35,40 3,217 5835,59 3,765 58
640,88 197,381 58
SAKKKK.KO
Mean Std. Deviation N
Correlations
1,000 ,370 -,636,370 1,000 ,287
-,636 ,287 1,000. ,002 ,000
,002 . ,015,000 ,015 .
58 58 5858 58 5858 58 58
SAKKKK.KOSAKKKK.KOSAKKKK.KO
Pearson Correlation
Sig. (1-tailed)
N
SA KK KK.KO
Variables Entered/Removedb
KK.KO, KKa . EnterModel1
VariablesEntered
VariablesRemoved Method
All requested variables entered.a.
Dependent Variable: SAb.
Model Summaryb
,858a ,737 ,727 1,680 1,686Model1
R R SquareAdjustedR Square
Std. Error ofthe Estimate
Durbin-Watson
Predictors: (Constant), KK.KO, KKa.
Dependent Variable: SAb.
89
ANOVAb
434,596 2 217,298 76,965 ,000a
155,283 55 2,823589,879 57
RegressionResidualTotal
Model1
Sum ofSquares df Mean Square F Sig.
Predictors: (Constant), KK.KO, KKa.
Dependent Variable: SAb.
Coefficientsa
25,537 2,119 12,053 ,000,514 ,062 ,602 8,336 ,000 ,370 ,747 ,577 ,918 1,090
-,013 ,001 -,808 -11,194 ,000 -,636 -,834 -,774 ,918 1,090
(Constant)KKKK.KO
Model1
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig. Zero-order Partial PartCorrelations
Tolerance VIFCollinearity Statistics
Dependent Variable: SAa.
90
43210-1-2-3
Regression Standardized Residual
20
15
10
5
0
Freq
uenc
y
Mean = 2.48E-16Std. Dev. = 0.982N = 58
Dependent Variable: SA
Histogram
1.00.80.60.40.20.0
Observed Cum Prob
1.0
0.8
0.6
0.4
0.2
0.0
Exp
ecte
d C
um P
rob
Dependent Variable: SA
Normal P-P Plot of Regression Standardized Residual
43210-1-2-3
Regression Studentized Residual
2
1
0
-1
-2
Reg
ress
ion
Sta
ndar
dize
d P
redi
cted
Val
ue
Dependent Variable: SA
Scatterplot
91
Regression
Variables Entered/Removedb
KK.KO, KKa . EnterModel1
VariablesEntered
VariablesRemoved Method
All requested variables entered.a.
Dependent Variable: Abs6b.
Model Summary
,237a ,056 ,022 1,03355535Model1
R R SquareAdjustedR Square
Std. Error ofthe Estimate
Predictors: (Constant), KK.KO, KKa.
ANOVAb
3,499 2 1,750 1,638 ,204a
58,753 55 1,06862,252 57
RegressionResidualTotal
Model1
Sum ofSquares df Mean Square F Sig.
Predictors: (Constant), KK.KO, KKa.
Dependent Variable: Abs6b.
Coefficientsa
,198 1,303 ,152 ,880,050 ,038 ,181 1,327 ,190
-,001 ,001 -,213 -1,560 ,125
(Constant)KKKK.KO
Model1
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig.
Dependent Variable: Abs6a.
92
NPar Tests
One-Sample Kolmogorov-Smirnov Test
58,0000000
1,65053342,125,125
-,091,954,323
NMeanStd. Deviation
Normal Parameters a,b
AbsolutePositiveNegative
Most ExtremeDifferences
Kolmogorov-Smirnov ZAsymp. Sig. (2-tailed)
Unstandardized Residual
Test distribution is Normal.a.
Calculated from data.b.