LAMPIRAN 1 DATA AWAL PENELITIAN

(1)

DATA AWAL PENELITIAN

No.

Kode

Tahun

CSR

ML

NP

**CSR*ML**

(2)

(3)

DATA AKHIR PENELITIAN

(4)

(5)

HASIL ANALISIS DESKRIPTIF

Descriptives

Descriptive Statistics

49 1,000 5,000 2,918 ,640

49 ,000 ,830 ,158 ,209

49 -,010 2,880 ,968 ,737

49 ,000 2,270 ,424 ,555

49 CSR

ML NP CSR*ML Valid N (listwise)

(6)

LAMPIRAN 4

HASIL UJI NORMALITAS AWAL

NPar Tests

One-Sample Kolmogorov-Smirnov Test

70 ,0000000 ,99272718 ,203 ,203 -,153 1,700 ,006 N

Mean

Std. Deviation Normal Parametersa,b

Absolute Positive Negative Most Extreme

Differences

Kolmogorov-Smirnov Z Asymp. Sig. (2-tailed)

Standardiz ed Residual

Test dis tribution is Normal. a.

(7)

HASIL UJI NORMALITAS SETELAH OUTLIER DIHILANGKAN

NPar Tests

49 Normal Parametersa,b

Absolute Asymp. Sig. (2-tailed)

Calculated from data. b.

49 Normal Parametersa,b

Absolute Asymp. Sig. (2-tailed)

(8)

LAMPIRAN 6

HASIL UJI HETEROKEDASTISITAS HIPOTESIS 1

Regression

Variables Entered/Removedb

CSRa . Enter

All requested variables entered. a.

Dependent Variable: AbsUt1 b.

Model Summary

,224a ,050 ,030 ,47014 Model

1

R R Square

Adjusted R Square

Std. Error of the Es timate

Predic tors: (Constant), CSR a.

ANOVAb

,551 1 ,551 2,494 ,121a

10,389 47 ,221

10,940 48

Squares df Mean Square F Sig.

Predictors: (Cons tant), CSR a.

Coefficientsa

,369 ,317 1,167 ,249

,167 ,106 ,224 1,579 ,121

(Constant) CSR Model

1

B Std. Error Unstandardized

(9)

HASIL UJI HETEROKEDASTISITAS HIPOTESIS 2

Regression

CSR*ML,

Model Summary

,276a ,076 ,014 ,50734 Model

1

R R Square

Adjusted R Square

Predic tors: (Constant), CSR*ML, CSR, ML a.

ANOVAb

,952 3 ,317 1,233 ,309a

11,583 45 ,257

12,535 48

Predictors: (Cons tant), CSR*ML, CSR, ML a.

Coefficientsa

,777 ,492 1,579 ,121

,025 ,163 ,031 ,152 ,880

-1,263 1,021 -,517 -1,237 ,222

,389 ,368 ,423 1,057 ,296

(Constant)

(10)

LAMPIRAN 8

HASIL UJI MULTIKOLINERITAS

Regression

CSR*ML,

Dependent Variable: NP b.

Model Summary

,568a ,323 ,278 ,6266284 Model

1

R R Square

Adjusted R Square

ANOVAb

8,419 3 2,806 7,147 ,001a

17,670 45 ,393

26,089 48

Coefficientsa

-1,157 ,608 -1,904 ,063

,669 ,201 ,581 3,331 ,002 ,495 2,019

1,156 1,261 ,328 ,917 ,364 ,118 8,496

-,020 ,455 -,015 -,045 ,964 ,129 7,781

(Constant)

B Std. Error

Unstandardized Coefficients

Beta Standardiz ed

Coefficients

t Sig. Tolerance VIF

Collinearity Statistics

(11)

3,135 1,000 ,00 ,00 ,01 ,01

,765 2,024 ,01 ,01 ,03 ,02

,091 5,881 ,02 ,02 ,33 ,40

,010 18,071 ,97 ,98 ,64 ,57

Dimens ion 1

2 3 4 Model 1

Eigenvalue

Condition

Index (Constant) CSR ML CSR*ML

Variance Proportions

(12)

LAMPIRAN 9

HASIL UJI AUTOKORELASI HIPOTESIS 1

Regression

CSRa . Enter

Model Summaryb

,483a ,233 ,217 ,6523494 2,228 Model

1

R R Square

Adjusted R Square

Durbin-Watson

ANOVAb

6,087 1 6,087 14,304 ,000a

20,001 47 ,426

26,089 48

Coefficientsa

-,655 ,439 -1,491 ,143

,556 ,147 ,483 3,782 ,000

1

(13)

-,098734 2,126286 ,968367 ,3561180 49 -1,02378 1,3099688 ,0000000 ,6455183 49

-2,996 3,252 ,000 1,000 49

-1,569 2,008 ,000 ,990 49

Predic ted Value Residual

Std. Predicted Value Std. Residual

Minimum Maximum Mean Std. Deviation N

(14)

LAMPIRAN 10

HASIL UJI AUTOKORELASI HIPOTESIS 2

Regression

CSR*ML,

Model Summaryb

,568a ,323 ,278 ,6266284 2,276 Model

1

R R Square

Adjusted R Square

Durbin-Watson

ANOVAb

8,419 3 2,806 7,147 ,001a

17,670 45 ,393

26,089 48

Coefficientsa

-1,157 ,608 -1,904 ,063

,669 ,201 ,581 3,331 ,002

1,156 1,261 ,328 ,917 ,364

-,020 ,455 -,015 -,045 ,964

(Constant)

(15)

-,386565 2,196250 ,968367 ,4187986 49 -1,05580 1,2645946 ,0000000 ,6067303 49

-3,235 2,932 ,000 1,000 49

-1,685 2,018 ,000 ,968 49

Predic ted Value Residual

Std. Predicted Value Std. Residual

Minimum Maximum Mean Std. Deviation N

(16)

LAMPIRAN 11

HASIL ANALISIS REGRESI HIPOTESIS 1

Regression

[DataSet2] D:\Proton (Semarang)\ICHA\Icha, 4 Oktober\Reg (akhir-ok).sav

CSRa . Enter

Model Summary

,483a ,233 ,217 ,6523494 Model

1

R R Square

Adjusted R Square

ANOVAb

6,087 1 6,087 14,304 ,000a

20,001 47 ,426

26,089 48

Coefficientsa

-,655 ,439 -1,491 ,143

,556 ,147 ,483 3,782 ,000

1

(17)

HASIL ANALISIS REGRESI HIPOTESIS 2

Regression

CSR*ML,

Model Summary

,568a ,323 ,278 ,6266284 Model

1

R R Square

Adjusted R Square

ANOVAb

8,419 3 2,806 7,147 ,001a

17,670 45 ,393

26,089 48

Coefficientsa

-1,157 ,608 -1,904 ,063

,669 ,201 ,581 3,331 ,002

1,156 1,261 ,328 ,917 ,364

-,020 ,455 -,015 -,045 ,964

(Constant)

(18)

T-Test

Paired Samples Statistics

2.92 49 .640 .091

.97541 49 .729256 .104179 CSR

NP Pair 1

Mean N Std. Deviation

Std. Error Mean

Paired Samples Correlations

49 .489 .000

CSR & NP Pair 1

N Correlation Sig.

Paired Samples Test

1.942959 .696527 .099504 1.742893 2.143025 19.526 48 .000 CSR - NP

Pair 1

Mean Std. Deviation

Std. Error

Mean Lower Upper 95% Confidence

Interval of the Difference Paired Differences

t df Sig. (2-tailed)

Paired Samples Statistics

2.92 49 .640 .091

.20259 49 .210679 .030097 CSR

CSR*Mldiabsolutekan Pair

1

Mean N Std. Deviation

Std. Error Mean

Paired Samples Correlations

49 .130 .372

CSR &

CSR*Mldiabsolutekan Pair

1

N Correlation Sig.

Paired Samples Test

2.715774 .647364 .092481 2.529829 2.901719 29.366 48 .000 CSR

-CSR*Mldiabsolutekan Pair

1

Mean Std. Deviation

Std. Error

Mean Lower Upper 95% Confidence

Interval of the Difference Paired Differences