Lampiran 1
STATISTIK DESKRIPTIF MODEL REGRESI 1
STATISTIK DESKRIPTIF MODEL REGRESI 2
Descriptive Statistics
30 ,02222 ,98000 ,2595358 ,25553701 30 ,10150 6,51334 1,3545841 1,28106794 30 -3,44268 6,38392 1,8378998 1,87505435 30 ,05333 9,80646 1,3435541 1,84317944 30 -,09618 ,52082 ,1000209 ,12495457 30 ,03650 ,10380 ,0523200 ,01364203 30 ,05750 ,08750 ,0634167 ,00699394 30 -,05620 ,02067 -,0014559 ,01245791 30
IR CR DER TATO ROA INF SBI KP
Valid N (listwise)
N Minimum Maximum Mean St d. Dev iation
Descriptive Statistics
30 ,01667 1,87034 ,3102806 ,39158000 30 ,10150 6,51334 1,3522403 1,26723667 30 -3,44268 12,24801 2,0159882 2,54544703 30 ,05333 3,65452 1,1294576 ,92440633 30 -,09618 ,52082 ,1022400 ,12412135 30 ,03720 ,11850 ,0545133 ,01785103 30 ,05750 ,09000 ,0645000 ,00849442 30 -,05620 ,02067 -,0015622 ,01263766 30 ,00324 ,81369 ,1509629 ,17767278 30
IR CR DER TATO ROA INF SBI KP DA
Valid N (listwise)
Lampiran 2
UJI ASUMSI KLASIK MODEL REGRESI 1
UJI NORMALITAS
UJI HETEROKEDASTISITAS
UJI AUTOKORELASI
One-Sample Kolmogorov-Smirnov Test
30 ,0000000 ,16466984 ,094 ,094 -,094 ,516 ,952 N
Mean Std. Dev iat ion Normal Parametersa,b
Absolute Positiv e Negativ e Most Extreme
Dif f erences
Kolmogorov -Smirnov Z Asy mp. Sig. (2-tailed)
Unstandardiz ed Residual
Test distribution is Normal. a.
Calculated f rom data. b.
Coeffi ci entsa
,071 ,171 ,419 ,679
,019 ,013 ,277 1,484 ,152
-,007 ,010 -,143 -,693 ,496
-,002 ,010 -,051 -,253 ,802
-,024 ,140 -,033 -,171 ,866
-3,999 1,986 -,606 -2,014 ,056
4,238 3,345 ,329 1,267 ,218
2,378 1,477 ,329 1,610 ,122
(Constant) CR DER TATO ROA INF SBI KP Model 1
B St d. Error Unstandardized
Coef f icients
Beta St andardized Coef f icients
t Sig.
Dependent Variable: ABSRES a.
Model Summaryb
,765a ,585 ,453 ,18906090 2,404
Model 1
R R Square
Adjusted R Square
St d. Error of the Estimate
Durbin-Wat son
Predictors: (Constant), KP, TATO, DER, CR, ROA, SBI, INF a.
UJI RUNTEST
Unstandardized
Residual
Test Value(a)
-,02182
Cases < Test Value
15
Cases >= Test Value
15
Total Cases
30
Number of Runs
18
Z
,557
Asymp. Sig. (2-tailed)
,577
a Median
UJI MULTIKOLONIERITAS
Coefficientsa
,405 ,372 1,088 ,288
,095 ,029 ,479 3,342 ,003 ,921 1,086
-,060 ,022 -,442 -2,793 ,011 ,754 1,326
-,049 ,021 -,351 -2,289 ,032 ,803 1,245
-,708 ,305 -,346 -2,321 ,030 ,849 1,178
-13,446 4,327 -,718 -3,107 ,005 ,354 2,827
10,815 7,288 ,296 1,484 ,152 ,474 2,108
6,719 3,219 ,328 2,088 ,049 ,767 1,304
(Constant) CR DER TATO ROA INF SBI KP Model 1
B Std. Error Unstandardized
Coeff icients
Beta Standardized Coeff icients
t Sig. Tolerance VIF Collinearity Statistics
Lampiran 3
UJI HIPOTESIS MODEL REGRESI 1
Model Summary
,765a ,585 ,453 ,18906090
Model 1
R R Square
Adjusted R Square
St d. Error of the Estimate
Predictors: (Constant), KP, TATO, DER, CR, ROA, SBI, INF
a.
ANOVAb
1,107 7 ,158 4,426 ,003a
,786 22 ,036
1,894 29
Regression Residual Total Model 1
Sum of
Squares df Mean Square F Sig.
Predictors: (Const ant), KP, TATO, DER, CR, ROA, SBI, INF a.
Dependent Variable: IR b.
Coeffi ci entsa
,405 ,372 1,088 ,288
,095 ,029 ,479 3,342 ,003
-,060 ,022 -,442 -2,793 ,011
-,049 ,021 -,351 -2,289 ,032
-,708 ,305 -,346 -2,321 ,030
-13,446 4,327 -,718 -3,107 ,005
10,815 7,288 ,296 1,484 ,152
6,719 3,219 ,328 2,088 ,049
(Constant) CR DER TATO ROA INF SBI KP Model 1
B St d. Error Unstandardized
Coef f icients
Beta St andardized Coef f icients
t Sig.
Lampiran 4
UJI ASUMSI KLASIK MODEL REGRESI 2
UJI NORMALITAS
UJI HETEROKEDASTISITAS
UJI AUTOKORELASI
One-Sample Kolmogorov-Smirnov Test
30 ,0000000 ,28979185 ,147 ,147 -,101 ,807 ,533 N
Mean Std. Dev iat ion Normal Parametersa,b
Absolute Positiv e Negativ e Most Extreme
Dif f erences
Kolmogorov -Smirnov Z Asy mp. Sig. (2-tailed)
Unstandardiz ed Residual
Test distribution is Normal. a.
Calculated f rom data. b.
Coeffi ci entsa
,296 ,310 ,954 ,351
,000 ,026 ,002 ,011 ,991
,018 ,014 ,269 1,357 ,189
,004 ,039 ,019 ,092 ,928
-,423 ,292 -,301 -1,445 ,163
-,153 3,086 -,016 -,050 ,961
-,161 6,430 -,008 -,025 ,980
3,584 2,705 ,260 1,325 ,199
-,279 ,193 -,284 -1,444 ,164
(Constant) CR DER TATO ROA INF SBI KP DA Model 1
B St d. Error Unstandardized
Coef f icients
Beta St andardized Coef f icients
t Sig.
Dependent Variable: ABSRES a.
Model Summaryb
,673a ,452 ,244 ,34054579 2,186
Model 1
R R Square
Adjusted R Square
St d. Error of the Estimate
Durbin-Wat son
Predictors: (Constant), DA, TATO, KP, DER, CR, SBI, ROA, INF a.
UJI RUNTEST
Unstandardized
Residual
Test Value(a)
-,07117
Cases < Test Value
15
Cases >= Test Value
15
Total Cases
30
Number of Runs
19
Z
,929
Asymp. Sig. (2-tailed)
,353
a Median
UJI MULTIKOLONIERITAS
Coeffici entsa
-,553 ,617 -,895 ,381
,096 ,053 ,312 1,829 ,082 ,895 1,118
,055 ,027 ,355 2,023 ,056 ,845 1,184
,017 ,077 ,039 ,217 ,830 ,791 1,264
-,172 ,583 -,054 -,294 ,771 ,765 1,308
5,821 6,147 ,265 ,947 ,354 ,332 3,011
5,203 12,808 ,113 ,406 ,689 ,338 2,960
-,382 5,387 -,012 -,071 ,944 ,863 1,159
-,216 ,385 -,098 -,562 ,580 ,856 1,168
(Constant) CR DER TATO ROA INF SBI KP DA Model 1
B Std. Error Unstandardized
Coef f icients
Beta Standardized Coef f icients
t Sig. Tolerance VIF
Collinearity Statistics
Lampiran 5
UJI HIPOTESIS MODEL REGRESI 2
Model Summary
,902a ,814 ,616 ,24277015
Model 1
R R Square
Adjusted R Square
St d. Error of the Estimate
Predictors: (Constant), KP.DA, DER, CR, ROA, SBI, TATO, SBI.DA, INF, TATO.DA, KP, DER.DA, ROA.DA, CR. DA, INF. DA, DA
a.
ANOVAb
3,622 15 ,241 4,097 ,006a
,825 14 ,059
4,447 29
Regression Residual Total Model 1
Sum of
Squares df Mean Square F Sig.
Predictors: (Const ant), KP.DA, DER, CR, ROA, SBI, TATO, SBI.DA, I NF, TATO.DA, KP, DER.DA, ROA.DA, CR.DA, INF.DA, DA
a.
Dependent Variable: IR b.
Coeffi ci entsa
4,835 1,372 3,523 ,003
-,251 ,084 -,813 -2,990 ,010
-,153 ,063 -,997 -2,451 ,028
-,141 ,095 -,333 -1,486 ,160
-2,844 1,017 -,901 -2,795 ,014
5,058 9,031 ,231 ,560 ,584
-60,359 22,566 -1,309 -2,675 ,018
10,878 9,272 ,351 1,173 ,260
-48,233 11,139 -21,885 -4,330 ,001
7,236 1,585 4,221 4,565 ,000
3,265 ,810 2,642 4,033 ,001
,001 ,685 ,001 ,002 ,998
17,694 5,745 1,950 3,080 ,008
201,928 104,679 5,155 1,929 ,074
357,249 163,689 10,024 2,182 ,047
-164,724 60,897 -1,145 -2,705 ,017
(Constant) CR DER TATO ROA INF SBI KP DA CR. DA DER.DA TATO.DA ROA.DA INF.DA SBI.DA KP.DA Model
1
B St d. Error Unstandardized
Coef f icients
Beta St andardized Coef f icients
t Sig.
Lampiran 6
UJI ASUMSI KLASIK MANAJEMEN LABA
UJI NORMALITAS
UJI HETEROKESDASTISITAS
UJI AUTOKORELASI
UJI MULTIKOLONIERTIAS
One-Sample Kolmogorov-Smirnov Test
42 ,0000000 ,22696891 ,133 ,133 -,120 ,861 ,449 N
Mean Std. Dev iat ion Normal Parametersa,b
Absolute Positiv e Negativ e Most Extreme
Dif f erences
Kolmogorov -Smirnov Z Asy mp. Sig. (2-tailed)
Unstandardiz ed Residual
Test distribution is Normal. a.
Calculated f rom data. b.
Coeffi ci entsa
,145 ,029 4,936 ,000
,033 ,037 ,138 ,875 ,387
,000 ,000 -,159 -1,005 ,321
(Constant) a1 a2 Model 1
B St d. Error
Unstandardized Coef f icients
Beta St andardized Coef f icients
t Sig.
Dependent Variable: ABSRES a.
Model Summaryb
,184a ,034 -,016 ,23271587 2,073
Model 1
R R Square
Adjusted R Square
St d. Error of the Estimate
Durbin-Wat son
Predictors: (Constant), a2, a1 a.
Dependent Variable: Y b.
Coeffici entsa
,021 ,041 ,514 ,610
,042 ,052 ,127 ,800 ,428 ,990 1,010
,000 ,000 -,147 -,930 ,358 ,990 1,010 (Constant)
a1 a2 Model 1
B Std. Error Unstandardized
Coef f icients
Beta Standardized Coef f icients
t Sig. Tolerance VIF Collinearity Statistics
Lampiran 7
UJI REGRESI MANAJEMEN LABA
Model Summary
,184a ,034 -,016 ,23271587
Model 1
R R Square
Adjusted R Square
St d. Error of the Estimate
Predictors: (Constant), a2, a1 a.
ANOVAb
,074 2 ,037 ,685 ,510a
2,112 39 ,054
2,186 41
Regression Residual Total Model 1
Sum of
Squares df Mean Square F Sig.
Predictors: (Const ant), a2, a1 a.
Dependent Variable: Y b.
Coeffi ci entsa
,021 ,041 ,514 ,610
,042 ,052 ,127 ,800 ,428
,000 ,000 -,147 -,930 ,358
(Constant) a1 a2 Model 1
B St d. Error Unstandardized
Coef f icients
Beta St andardized Coef f icients
t Sig.
