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DAFTAR PUSTAKA

Aggarwal. Raj, NyoNyo A. Kyaw, dan Xinlei Zhao. 2011. Financial Enviroment

and The Value Leverage Relation.

Journal of International Business and

Economy.

12 (2)

Al-Najjar, Basil dan Khaled Hussainey. 2011. Revisiting the capital-structure

puzzle: UK evidence.

The Journal of Risk Finance

. Vol. 12 No. 4

Al-Najjar, Basil dan Peter Taylor. 2008. The relationship between capital structure

and ownership structure.

Managerial Finance

. Volume 34. Nomor 12.

Bahreini. Vahid, Mehdi Baghbani, dan Rezvan Bahreini. 2013. Analysis between

financial leverage with the stock price and the operational performance of

the accepted companies in Tehran’s stock market. European Online

Journal of Natural and Social Sciences 2013. Vol. 2. No. 3

Bevan, A. and Danbolt, J. 2002. Capital structure and its determinants in the UK:

a decompositional analysis.

Applied Financial Economics

. Vol. 12 No. 3,

pp. 159-170.

Booth, L., V. Aivazian, A. Demirguc-Kunt, & V. Maksimovic. 2001. Capital

Structure in Developing Countries.

Journal of Finance

, 56, 87-130.

Bowman, Robert G. 1980. The Importance of a Market-Value Measurement of

Debt in Assessing Leverage.

Journal of Accounting Research

. Spring

Christianti. 2006. Penentuan Perilaku Kebijakan Struktur Modal pada Perusahaan

Manufaktur di Bursa Efek Jakarta: Hipotesis Static Trade-off atau Pecking

Order Theory.

Simposium Nasional Akuntansi 9

. Padang

Deesomsak, Rataporn, Krishna Paudyal dan Gioia Pescetto. 2004. The

Determinants of Capital Structure: Evidence from the Asia Pacific Region.

Centre for Empirical Research in Finance

. University of Durham.

Ghozali. Imam. 2009.

Aplikasi Analisis Multivariate dengan Program SPSS

.

Cetakan IV. Badan Penerbit Universitas Diponegoro. Semarang

Goyal, V., K. Lehn, dan S. Raci 2002. Growth Opportunities and Corporate Debt

Policy: The Case of the U.S. Defense Industry.

Journal of Financial

Economics

, 64, 35-59.

(4)

Hadianto, Bram. 2008.

Pengaruh Struktur Aktiva, Ukuran Perusahaan, dan

Profitabilitas Terhadap Struktur Modal Emiten Sektor Telekomunikasi

Periode 2000 – 2006: Sebuah Pengujian Hipotesis Pecking Order

.

Jurnal

Manajemen

, Volume 7. Nomor 2

Harjanti, Theresia Tri dan Eduardus Tandelilin. 2007. Pengaruh Firm Size,

Tangible Assets, Growth Opportunity, Profitability, dan Business Risk pada

Struktur Modal Perusahaan Manufaktur di Indonesia: Studi Kasus di BEJ,

Jurnal Ekonomi dan Bisnis

. Volume 1 Nomor 1

Haron, Razali. 2014. Capital structure inconclusiveness: evidence from Malaysia,

Thailand and Singapore.

International Journal of Managerial Finance

. Vol.

10 No. 1. Pp. 23-38

Hasan, H. Mudrika Alamsyah. 2006. Analisis Faktor-Faktor yang Mempengaruhi

Struktur Modal (Studi pada Perusahaan yang Terdaftar di Bursa Efek

Jakarta).

Jurnal Tepak Manajerial Magister Manajemen UNRI

. Volume 6.

Nomor 6.

Husnan, Suad. 2010.

Manajemen Keuangan Teori dan Penerapan

(Keputusan

Jangka Pendek)

. Buku Pertama. BPFE. Yogyakarta.

Ismiyanti, Fitri dan Mamduh H. Hanafi. 2003. Kepemilikan Manajerial,

Kepemilikan Institusional, Risiko, Kebijakan Utang dan Kebijakan Dividen:

Analisis Persamaan Simultan.

Simposium Nasional Akuntansi VI

. Surabaya

Kesuma, Ali. 2009. Analisis Faktor yang Mempengaruhi Struktur Modal Serta

Pengaruhnya Terhadap Harga Saham Perusahaan

Real Estate

yang

Go

Public

di Bursa Efek Indonesia.

Jurnal Manajemen dan Kewirausahaan

.

Volume 11. Nomor 1.

Khoir. Vasta Biqul, Siti Ragil Handayani dan Zahroh Z.A. 2013. Pengaruh

Earnings Per Share, Return on Assets, Net Profit Margin, Debt to Total

Assets Ratio dan Long term Debt to Equity Ratio Terhadap Harga Saham

(Studi pada Perusahaan Subsektor Perdagangan yang Terdaftar di Bursa

Efek Indonesia Periode 2010 – 2012).

Jurnal Administrasi Bisnis

. Volume

5. Nomor 1

(5)

Munawir, S. 2004.

Analisa Laporan Keuangan

. Edisi Keempat. Cetakan Ketiga

belas. Penerbit Liberty. Yogyakarta

Murhadi, Werner Ria. 2011. Determinan Struktur Modal: Studi di Asia Tenggara.

Jurnal Manajemen dan Kewirausahaan

. Volume 13. Nomor 2

Myers, S.C. 2001. Capital structures.

Journal of Economic Perspectives

. Vol. 15

No. 2 pp. 81-102.

Rajan, G.R. dan L. Zingales. 1995. What Do We Know About Capital Structure?

Some Evidence From International Data. Journal of Finance, 50:1422 –

1460

Ross, Westerfield dan Jordan. 2009. Pengantar Keuangan Perusahaan Corporate

Finance Fundamentals. Buku 2. Edisi 8

Sari. Dessy Handa, Atim Djazuli dan Siti Aisjah. 2013. Determinan Struktur

Modal dan Dampaknya terhadap Nilai Perusahaan (Studi pada Perusahaan

Makanan dan Minuman di Bursa Efek Indonesia).

Jurnal Aplikasi

Manajemen

. Volume 11. Nomor 1.

Seftianne dan Ratih Handayani. 2011. Faktor-Faktor yang Mempengaruhi

Struktur Modal pada Perusahaan Publik Sektor Manufaktur.

Jurnal Bisnis

dan Akuntansi

. Volume 13. Nomor 1. Halaman 39 – 56

Soejoko dan Soebiantoro. 2007. Pengaruh Struktur Kepemilikan Saham,

Leverage, Faktor Intern Dan Faktor Ekstern Terhadap Nilai Perusahaan

(Studi empirik pada perusahaan manufaktur dan non manufaktur di Bursa

Efek Jakarta).

Jurnal Ekonomi Manajemen

. Volume 9. Nomor 1

Sugiyono. 2009. Metode Penelitian Bisnis. Cetakan Keempatbelas. Bandung:

Penerbit Alfabeta

Sunarsih. 2004. Analisis Simultanitas Kebijakan Hutang dan Kebijakan Maturitas

Hutang serta Faktor-Faktor yang Mempengaruhinya.

Jurnal Siasat Bisnis

.

Volume 1. Nomor 9.

Supriyanto, Eko dan Falikhatun. 2008. Pengaruh Tangibility, Pertumbuhan

Penjualan dan Ukuran Perusahaan Terhadap Struktur Keuangan.

Jurnal

Bisnis dan Akuntansi

. Volume 10. Nomor 1. Halaman 13 – 22.

Titman, S. dan Wessels, R. 1988. The Determinant of Capital Structure Choice.

Journal of Finance

. Vol. 43. No. 1.

(6)

Widjaja, Indra dan Faris Kasenda. 2008. Pengaruh Kepemilikan Institusional,

Aktiva Berwujud, Ukuran Perusahaan dan Profitabilitas Terhadap Struktur

Modal pada Perusahaan dalam Industri Barang Konsumsi di BEI.

Jurnal

Manajemen

. Tahun XII. Nomor 2

Wimelda, Linda dan Aan Marlinah. 2012. Variabel-Variabel yang Mempengaruhi

Struktur Modal pada Perusahaan Publik Sektor Non Keuangan.

Media

Bisnis

. Edisi Khusus November.

Yusriyanti, Hasni. 2013. Pengaruh Tingkat Profitabilitas, Struktur Asset, dan

(7)
(8)

Uji Normalitas (Semua Negara)

One-Sample Kolmogorov-Smirnov Test

480 480 480 480 480 480

.0000000 .0000000 .0000000 .0000000 .0000000 .0000000 .29264456 .23348339 .14081680 .13595653 .09291627 .08183754

.123 .159 .138 .113 .150 .119

.123 .150 .138 .113 .150 .119

-.107 -.159 -.101 -.084 -.124 -.080

N

Mean

Std. Deviation Normal Parametersa,b

Absolute Positive Negative Most Extreme

Differences

Unstandardize d Residual

Unstandardize d Residual

Unstandardize d Residual

Unstandardize d Residual

Unstandardize d Residual

(9)

Uji Multikolinearitas (Semua Negara)

Variables Entered/Removedb

CG, IR, PROFIT, RISIKO, LIKUIDITA S, TANG, GO, SMD, EG, UP, NDTS, KHSa

. Enter

Model 1

Variables Entered

Variables

Removed Method

All requested variables entered. a.

Dependent Variable: DTA b.

Coefficientsa

.681 1.468

.816 1.225

.985 1.015

.992 1.008

.825 1.212

.782 1.279

.985 1.015

.217 4.615

.875 1.143

.238 4.210

.629 1.591

.951 1.052

NDTS TANG PROFIT RISIKO UP GO

LIKUIDITAS KHS SMD EG IR CG Model 1

Tolerance VIF

Collinearity Statistics

(10)

Uji Multikolinearitas (Semua Negara)

Variables Entered/Removedb

CG, IR, PROFIT, RISIKO, LIKUIDITA S, TANG, GO, SMD, EG, UP, NDTS, KHSa

. Enter

Model 1

Variables Entered

Variables

Removed Method

All requested variables entered. a.

Dependent Variable: LDTA b.

Coefficientsa

.681 1.468

.816 1.225

.985 1.015

.992 1.008

.825 1.212

.782 1.279

.985 1.015

.217 4.615

NDTS TANG PROFIT RISIKO UP GO

LIKUIDITAS KHS Model

1

Tolerance VIF

(11)

Uji Multikolinearitas (Semua Negara)

Variables Entered/Removedb

CG, IR, PROFIT, RISIKO, LIKUIDITA S, TANG, GO, SMD, EG, UP, NDTS, KHSa

. Enter

Model 1

Variables Entered

Variables

Removed Method

All requested variables entered. a.

Dependent Variable: SDTA b.

Coefficientsa

.681 1.468

.816 1.225

.985 1.015

.992 1.008

.825 1.212

.782 1.279

.985 1.015

.217 4.615

.875 1.143

.238 4.210

.629 1.591

.951 1.052

NDTS TANG PROFIT RISIKO UP GO

LIKUIDITAS KHS SMD EG IR CG Model 1

Tolerance VIF

Collinearity Statistics

(12)

Uji Multikolinearitas (Semua Negara)

Variables Entered/Removedb

CG, IR, PROFIT, RISIKO, LIKUIDITA S, TANG, GO, SMD, EG, UP, NDTS, KHSa

. Enter

Model 1

Variables Entered

Variables

Removed Method

All requested variables entered. a.

Dependent Variable: TDTDE b.

Coefficientsa

.681 1.468

.816 1.225

.985 1.015

.992 1.008

.825 1.212

.782 1.279

.985 1.015

.217 4.615

NDTS TANG PROFIT RISIKO UP GO

LIKUIDITAS KHS Model

1

Tolerance VIF

(13)

Uji Multikolinearitas (Semua Negara)

Variables Entered/Removedb

CG, IR, PROFIT, RISIKO, LIKUIDITA S, TANG, GO, SMD, EG, UP, NDTS, KHSa

. Enter

Model 1

Variables Entered

Variables

Removed Method

All requested variables entered. a.

Dependent Variable: LDTDE b.

Coefficientsa

.681 1.468

.816 1.225

.985 1.015

.992 1.008

.825 1.212

.782 1.279

.985 1.015

.217 4.615

.875 1.143

.238 4.210

.629 1.591

.951 1.052

NDTS TANG PROFIT RISIKO UP GO

LIKUIDITAS KHS SMD EG IR CG Model 1

Tolerance VIF

Collinearity Statistics

(14)

Uji Multikolinearitas (Semua Negara)

Variables Entered/Removedb

CG, IR, PROFIT, RISIKO, LIKUIDITA S, TANG, GO, SMD, EG, UP, NDTS, KHSa

. Enter

Model 1

Variables Entered

Variables

Removed Method

All requested variables entered. a.

Dependent Variable: SDTDE b.

Coefficientsa

.681 1.468

.816 1.225

.985 1.015

.992 1.008

.825 1.212

.782 1.279

.985 1.015

.217 4.615

NDTS TANG PROFIT RISIKO UP GO

LIKUIDITAS KHS Model

1

Tolerance VIF

(15)

Uji Heteroskedastisitas (Semua Negara)

Regression Standardized Predicted Value

7.5 5.0

2.5 0.0

-2.5

R

e

g

re

s

s

io

n

S

tu

d

e

n

ti

z

e

d

R

e

s

id

u

a

l

10

5

0

-5

Scatterplot

(16)

Uji Heteroskedastisitas (Semua Negara)

e

g

re

s

s

io

n

S

tu

d

e

n

ti

z

e

d

R

e

s

id

u

a

l

15

10

5

0

Scatterplot

(17)

Uji Heteroskedastisitas (Semua Negara)

Regression Standardized Predicted Value

5 0

-5 -10

-15

R

e

g

re

s

s

io

n

S

tu

d

e

n

ti

z

e

d

R

e

s

id

u

a

l 5.0

2.5

0.0

-2.5

-5.0

Scatterplot

(18)

Uji Heteroskedastisitas (Semua Negara)

e

g

re

s

s

io

n

S

tu

d

e

n

ti

z

e

d

R

e

s

id

u

a

l

6

4

2

0

-2

Scatterplot

(19)

Uji Heteroskedastisitas (Semua Negara)

Regression Standardized Predicted Value

4 2

0 -2

-4

R

e

g

re

s

s

io

n

S

tu

d

e

n

ti

z

e

d

R

e

s

id

u

a

l 5.0

2.5

0.0

-2.5

-5.0

Scatterplot

(20)

Uji Heteroskedastisitas (Semua Negara)

e

g

re

s

s

io

n

S

tu

d

e

n

ti

z

e

d

R

e

s

id

u

a

l

4

2

0

-2

Scatterplot

(21)

Uji Autokorelasi (Semua Negara)

Variables Entered/Removedb

CG, IR, PROFIT, RISIKO, LIKUIDITA S, TANG, GO, SMD, EG, UP, NDTS, KHSa

. Enter Model 1 Variables Entered Variables Removed Method

All requested variables entered. a.

Dependent Variable: DTA b.

Model Summaryb

.302a .091 .068 .29638 1.943

Model 1

R R Square

Adjusted R Square

Std. Error of

the Estimate Durbin-Watson

Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS

a.

Dependent Variable: DTA b.

ANOVAb

4.127 12 .344 3.916 .000a

41.022 467 .088

45.149 479 Regression Residual Total Model 1 Sum of

Squares df Mean Square F Sig.

Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS

a.

Dependent Variable: DTA b.

Coefficientsa

-.179 .334 -.538 .591

.383 .109 .187 3.498 .001

.070 .051 .068 1.384 .167

.000 .003 -.003 -.065 .948

6.44E-006 .001 .000 .008 .993

.002 .003 .026 .537 .592

-.194 .282 -.034 -.688 .492

-.001 .001 -.046 -1.045 .296

-.117 .111 -.100 -1.051 .294

.034 .014 .117 2.483 .013

.022 .091 .022 .244 .807

-.031 .006 -.279 -5.008 .000

.002 .001 .068 1.512 .131

(Constant) NDTS TANG PROFIT RISIKO UP GO LIKUIDITAS KHS SMD EG IR CG Model 1

B Std. Error

Unstandardized Coefficients Beta Standardized Coefficients t Sig.

(22)

Uji Autokorelasi (Semua Negara)

Variables Entered/Removedb

CG, IR, PROFIT, RISIKO, LIKUIDITA S, TANG, GO, SMD, EG, UP, NDTS, KHSa

. Enter

Model 1

Variables Entered

Variables

Removed Method

All requested variables entered. a.

Dependent Variable: LDTA b.

Model Summaryb

.291a .085 .061 .23646 1.961

Model 1

R R Square

Adjusted R Square

Std. Error of

the Estimate Durbin-Watson

Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS

a.

Dependent Variable: LDTA b.

ANOVAb

2.411 12 .201 3.593 .000a

26.112 467 .056

28.523 479

Regression Residual Total Model

1

Sum of

Squares df Mean Square F Sig.

Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS

a.

Dependent Variable: LDTA b.

Coefficientsa

-.739 .266 -2.778 .006

.199 .087 .122 2.276 .023

.112 .041 .135 2.754 .006

.001 .003 .024 .540 .589

.000 .001 .026 .593 .553

.006 .003 .113 2.319 .021

-.114 .225 -.025 -.508 .611

.000 .001 -.013 -.281 .779

-.075 .089 -.080 -.845 .398

(Constant) NDTS TANG PROFIT RISIKO UP GO

LIKUIDITAS KHS Model

1

B Std. Error

Unstandardized Coefficients

Beta Standardized

Coefficients

(23)

Uji Autokorelasi (Semua Negara)

Variables Entered/Removedb

CG, IR, PROFIT, RISIKO, LIKUIDITA S, TANG, GO, SMD, EG, UP, NDTS, KHSa

. Enter Model 1 Variables Entered Variables Removed Method

All requested variables entered. a.

Dependent Variable: SDTA b.

Model Summaryb

.277a .077 .053 .14261 1.726

Model 1

R R Square

Adjusted R Square

Std. Error of

the Estimate Durbin-Watson

Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS

a.

Dependent Variable: SDTA b.

ANOVAb

.787 12 .066 3.226 .000a

9.498 467 .020

10.286 479 Regression Residual Total Model 1 Sum of

Squares df Mean Square F Sig.

Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS

a.

Dependent Variable: SDTA b.

Coefficientsa

.405 .161 2.522 .012

.040 .053 .041 .764 .445

-.052 .024 -.104 -2.115 .035

.000 .002 -.011 -.236 .813

-7.95E-005 .000 -.010 -.216 .829

-.003 .002 -.102 -2.079 .038

-.070 .135 -.026 -.515 .607

-.002 .000 -.214 -4.776 .000

-.053 .054 -.094 -.984 .326

-.005 .006 -.038 -.798 .425

.062 .044 .128 1.399 .163

.004 .003 .082 1.458 .145

.001 .000 .067 1.480 .140

(Constant) NDTS TANG PROFIT RISIKO UP GO LIKUIDITAS KHS SMD EG IR CG Model 1

B Std. Error

Unstandardized Coefficients Beta Standardized Coefficients t Sig.

(24)

Uji Autokorelasi (Semua Negara)

Variables Entered/Removedb

CG, IR, PROFIT, RISIKO, LIKUIDITA S, TANG, GO, SMD, EG, UP, NDTS, KHSa

. Enter

Model 1

Variables Entered

Variables

Removed Method

All requested variables entered. a.

Dependent Variable: TDTDE b.

Model Summaryb

.901a .812 .807 .13769 1.868

Model 1

R R Square

Adjusted R Square

Std. Error of

the Estimate Durbin-Watson

Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS

a.

Dependent Variable: TDTDE b.

ANOVAb

38.274 12 3.190 168.231 .000a

8.854 467 .019

47.128 479

Regression Residual Total Model

1

Sum of

Squares df Mean Square F Sig.

Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS

a.

Dependent Variable: TDTDE b.

Coefficientsa

-.909 .155 -5.866 .000

.129 .051 .061 2.529 .012

-.060 .024 -.056 -2.537 .012

.003 .002 .042 2.069 .039

-7.08E-005 .000 -.004 -.199 .842

.061 .002 .846 38.313 .000

.000 .131 .000 .002 .998

.000 .000 .008 .392 .695

-.004 .052 -.003 -.071 .944

(Constant) NDTS TANG PROFIT RISIKO UP GO

LIKUIDITAS KHS Model

1

B Std. Error

Unstandardized Coefficients

Beta Standardized

Coefficients

(25)

Uji Autokorelasi (Semua Negara)

Variables Entered/Removedb

CG, IR, PROFIT, RISIKO, LIKUIDITA S, TANG, GO, SMD, EG, UP, NDTS, KHSa

. Enter Model 1 Variables Entered Variables Removed Method

All requested variables entered. a.

Dependent Variable: LDTDE b.

Model Summaryb

.800a .640 .631 .09410 2.026

Model 1

R R Square

Adjusted R Square

Std. Error of

the Estimate Durbin-Watson

Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS

a.

Dependent Variable: LDTDE b.

ANOVAb

7.355 12 .613 69.211 .000a

4.135 467 .009

11.490 479 Regression Residual Total Model 1 Sum of

Squares df Mean Square F Sig.

Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS

a.

Dependent Variable: LDTDE b.

Coefficientsa

-.493 .106 -4.652 .000

.071 .035 .069 2.047 .041

-.031 .016 -.058 -1.900 .058

.001 .001 .036 1.281 .201

-1.47E-005 .000 -.002 -.061 .952

.028 .001 .800 26.175 .000

.007 .089 .002 .074 .941

9.85E-005 .000 .010 .358 .721

.008 .035 .014 .239 .811

-.007 .004 -.048 -1.629 .104

-.008 .029 -.015 -.262 .793

.001 .002 .016 .444 .657

-.001 .000 -.067 -2.370 .018

(Constant) NDTS TANG PROFIT RISIKO UP GO LIKUIDITAS KHS SMD EG IR CG Model 1

B Std. Error

Unstandardized Coefficients Beta Standardized Coefficients t Sig.

(26)

Uji Autokorelasi (Semua Negara)

Variables Entered/Removedb

CG, IR, PROFIT, RISIKO, LIKUIDITA S, TANG, GO, SMD, EG, UP, NDTS, KHSa

. Enter

Model 1

Variables Entered

Variables

Removed Method

All requested variables entered. a.

Dependent Variable: SDTDE b.

Model Summaryb

.825a .681 .673 .08288 1.501

Model 1

R R Square

Adjusted R Square

Std. Error of

the Estimate Durbin-Watson

Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS

a.

Dependent Variable: SDTDE b.

ANOVAb

6.859 12 .572 83.201 .000a

3.208 467 .007

10.067 479

Regression Residual Total Model

1

Sum of

Squares df Mean Square F Sig.

Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS

a.

Dependent Variable: SDTDE b.

Coefficientsa

-.244 .093 -2.619 .009

.024 .031 .025 .790 .430

-.028 .014 -.056 -1.942 .053

.001 .001 .037 1.387 .166

1.37E-006 .000 .000 .006 .995

.020 .001 .595 20.700 .000

.048 .079 .018 .609 .543

.000 .000 -.020 -.759 .448

-.007 .031 -.012 -.214 .830

(Constant) NDTS TANG PROFIT RISIKO UP GO

LIKUIDITAS KHS Model

1

B Std. Error

Unstandardized Coefficients

Beta Standardized

Coefficients

(27)

Regression (Semua Negara)

Variables Entered/Removedb

CG, IR, PROFIT, RISIKO, LIKUIDITA S, TANG, GO, SMD, EG, UP, NDTS, KHSa

. Enter Model 1 Variables Entered Variables Removed Method

All requested variables entered. a.

Dependent Variable: DTA b.

Model Summary

.302a .091 .068 .29638

Model 1

R R Square

Adjusted R Square

Std. Error of the Estimate

Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS a.

ANOVAb

4.127 12 .344 3.916 .000a

41.022 467 .088

45.149 479 Regression Residual Total Model 1 Sum of

Squares df Mean Square F Sig.

Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS

a.

Dependent Variable: DTA b.

Coefficientsa

-.179 .334 -.538 .591

.383 .109 .187 3.498 .001

.070 .051 .068 1.384 .167

.000 .003 -.003 -.065 .948

6.44E-006 .001 .000 .008 .993

.002 .003 .026 .537 .592

-.194 .282 -.034 -.688 .492

-.001 .001 -.046 -1.045 .296

-.117 .111 -.100 -1.051 .294

.034 .014 .117 2.483 .013

.022 .091 .022 .244 .807

-.031 .006 -.279 -5.008 .000

.002 .001 .068 1.512 .131

(Constant) NDTS TANG PROFIT RISIKO UP GO LIKUIDITAS KHS SMD EG IR CG Model 1

B Std. Error

Unstandardized Coefficients Beta Standardized Coefficients t Sig.

(28)

Regression (Semua Negara)

Variables Entered/Removedb

CG, IR, PROFIT, RISIKO, LIKUIDITA S, TANG, GO, SMD, EG, UP, NDTS, KHSa

. Enter

Model 1

Variables Entered

Variables

Removed Method

All requested variables entered. a.

Dependent Variable: LDTA b.

Model Summary

.291a .085 .061 .23646

Model 1

R R Square

Adjusted R Square

Std. Error of the Estimate

Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS a.

ANOVAb

2.411 12 .201 3.593 .000a

26.112 467 .056

28.523 479

Regression Residual Total Model

1

Sum of

Squares df Mean Square F Sig.

Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS

a.

Dependent Variable: LDTA b.

Coefficientsa

-.739 .266 -2.778 .006

.199 .087 .122 2.276 .023

.112 .041 .135 2.754 .006

.001 .003 .024 .540 .589

.000 .001 .026 .593 .553

.006 .003 .113 2.319 .021

-.114 .225 -.025 -.508 .611

.000 .001 -.013 -.281 .779

-.075 .089 -.080 -.845 .398

(Constant) NDTS TANG PROFIT RISIKO UP GO

LIKUIDITAS KHS Model

1

B Std. Error

Unstandardized Coefficients

Beta Standardized

Coefficients

(29)

Regression (Semua Negara)

Variables Entered/Removedb

CG, IR, PROFIT, RISIKO, LIKUIDITA S, TANG, GO, SMD, EG, UP, NDTS, KHSa

. Enter Model 1 Variables Entered Variables Removed Method

All requested variables entered. a.

Dependent Variable: SDTA b.

Model Summary

.277a .077 .053 .14261

Model 1

R R Square

Adjusted R Square

Std. Error of the Estimate

Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS a.

ANOVAb

.787 12 .066 3.226 .000a

9.498 467 .020

10.286 479 Regression Residual Total Model 1 Sum of

Squares df Mean Square F Sig.

Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS

a.

Dependent Variable: SDTA b.

Coefficientsa

.405 .161 2.522 .012

.040 .053 .041 .764 .445

-.052 .024 -.104 -2.115 .035

.000 .002 -.011 -.236 .813

-7.95E-005 .000 -.010 -.216 .829

-.003 .002 -.102 -2.079 .038

-.070 .135 -.026 -.515 .607

-.002 .000 -.214 -4.776 .000

-.053 .054 -.094 -.984 .326

-.005 .006 -.038 -.798 .425

.062 .044 .128 1.399 .163

.004 .003 .082 1.458 .145

.001 .000 .067 1.480 .140

(Constant) NDTS TANG PROFIT RISIKO UP GO LIKUIDITAS KHS SMD EG IR CG Model 1

B Std. Error

Unstandardized Coefficients Beta Standardized Coefficients t Sig.

(30)

Regression (Semua Negara)

Variables Entered/Removedb

CG, IR, PROFIT, RISIKO, LIKUIDITA S, TANG, GO, SMD, EG, UP, NDTS, KHSa

. Enter

Model 1

Variables Entered

Variables

Removed Method

All requested variables entered. a.

Dependent Variable: TDTDE b.

Model Summary

.901a .812 .807 .13769

Model 1

R R Square

Adjusted R Square

Std. Error of the Estimate

Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS a.

ANOVAb

38.274 12 3.190 168.231 .000a

8.854 467 .019

47.128 479

Regression Residual Total Model

1

Sum of

Squares df Mean Square F Sig.

Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS

a.

Dependent Variable: TDTDE b.

Coefficientsa

-.909 .155 -5.866 .000

.129 .051 .061 2.529 .012

-.060 .024 -.056 -2.537 .012

.003 .002 .042 2.069 .039

-7.08E-005 .000 -.004 -.199 .842

.061 .002 .846 38.313 .000

.000 .131 .000 .002 .998

.000 .000 .008 .392 .695

-.004 .052 -.003 -.071 .944

(Constant) NDTS TANG PROFIT RISIKO UP GO

LIKUIDITAS KHS Model

1

B Std. Error

Unstandardized Coefficients

Beta Standardized

Coefficients

(31)

Regression (Semua Negara)

Variables Entered/Removedb

CG, IR, PROFIT, RISIKO, LIKUIDITA S, TANG, GO, SMD, EG, UP, NDTS, KHSa

. Enter Model 1 Variables Entered Variables Removed Method

All requested variables entered. a.

Dependent Variable: LDTDE b.

Model Summary

.800a .640 .631 .09410

Model 1

R R Square

Adjusted R Square

Std. Error of the Estimate

Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS a.

ANOVAb

7.355 12 .613 69.211 .000a

4.135 467 .009

11.490 479 Regression Residual Total Model 1 Sum of

Squares df Mean Square F Sig.

Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS

a.

Dependent Variable: LDTDE b.

Coefficientsa

-.493 .106 -4.652 .000

.071 .035 .069 2.047 .041

-.031 .016 -.058 -1.900 .058

.001 .001 .036 1.281 .201

-1.47E-005 .000 -.002 -.061 .952

.028 .001 .800 26.175 .000

.007 .089 .002 .074 .941

9.85E-005 .000 .010 .358 .721

.008 .035 .014 .239 .811

-.007 .004 -.048 -1.629 .104

-.008 .029 -.015 -.262 .793

.001 .002 .016 .444 .657

-.001 .000 -.067 -2.370 .018

(Constant) NDTS TANG PROFIT RISIKO UP GO LIKUIDITAS KHS SMD EG IR CG Model 1

B Std. Error

Unstandardized Coefficients Beta Standardized Coefficients t Sig.

(32)

Regression (Semua Negara)

Variables Entered/Removedb

CG, IR, PROFIT, RISIKO, LIKUIDITA S, TANG, GO, SMD, EG, UP, NDTS, KHSa

. Enter

Model 1

Variables Entered

Variables

Removed Method

All requested variables entered. a.

Dependent Variable: SDTDE b.

Model Summary

.825a .681 .673 .08288

Model 1

R R Square

Adjusted R Square

Std. Error of the Estimate

Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS a.

ANOVAb

6.859 12 .572 83.201 .000a

3.208 467 .007

10.067 479

Regression Residual Total Model

1

Sum of

Squares df Mean Square F Sig.

Predictors: (Constant), CG, IR, PROFIT, RISIKO, LIKUIDITAS, TANG, GO, SMD, EG, UP, NDTS, KHS

a.

Dependent Variable: SDTDE b.

Coefficientsa

-.244 .093 -2.619 .009

.024 .031 .025 .790 .430

-.028 .014 -.056 -1.942 .053

.001 .001 .037 1.387 .166

1.37E-006 .000 .000 .006 .995

.020 .001 .595 20.700 .000

.048 .079 .018 .609 .543

.000 .000 -.020 -.759 .448

-.007 .031 -.012 -.214 .830

(Constant) NDTS TANG PROFIT RISIKO UP GO

LIKUIDITAS KHS Model

1

B Std. Error

Unstandardized Coefficients

Beta Standardized

Coefficients

(33)

Uji Normalitas (Indonesia)

One-Sample Kolmogorov-Smirnov Test

85 85 85 85 85 85

.0000000 .0000000 .0000000 .0000000 .0000000 .0000000 .14392728 .09419288 .08215470 .13469012 .11116265 .09692249

.093 .124 .079 .109 .056 .087

.072 .124 .079 .063 .056 .087

-.093 -.071 -.046 -.109 -.045 -.044

.857 1.147 .729 1.005 .514 .798

.454 .144 .662 .265 .954 .548

N

Mean

Std. Deviation Normal Parametersa,b

Absolute Positive Negative Most Extreme

Differences

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

Unstandardize d Residual

Unstandardize d Residual

Unstandardize d Residual

Unstandardize d Residual

Unstandardize d Residual

Unstandardize d Residual

Test distribution is Normal. a.

(34)

Uji Multikolinearitas (Indonesia)

Variables Entered/Removedb

CG, TANG, PROFIT, RISIKO, LIKUIDITA S, UP, GO, SMD, KHS, NDTSa

. Enter

Model 1

Variables Entered

Variables

Removed Method

All requested variables entered. a.

Dependent Variable: DTA b.

Coefficientsa

.433 2.307

.520 1.925

.803 1.245

.807 1.239

.660 1.514

.660 1.515

NDTS TANG PROFIT RISIKO UP GO Model 1

Tolerance VIF

(35)

Uji Multikolinearitas (Indonesia)

Variables Entered/Removedb

CG, TANG, PROFIT, RISIKO, LIKUIDITA S, UP, GO, SMD, KHS, NDTSa

. Enter

Model 1

Variables Entered

Variables

Removed Method

All requested variables entered. a.

Dependent Variable: LDTA b.

Coefficientsa

.433 2.307

.520 1.925

.803 1.245

.807 1.239

.660 1.514

.660 1.515

.769 1.301

.597 1.676

.626 1.598

.614 1.628

NDTS TANG PROFIT RISIKO UP GO

LIKUIDITAS KHS SMD CG Model 1

Tolerance VIF

Collinearity Statistics

(36)

Uji Multikolinearitas (Indonesia)

Variables Entered/Removedb

CG, TANG, PROFIT, RISIKO, LIKUIDITA S, UP, GO, SMD, KHS, NDTSa

. Enter

Model 1

Variables Entered

Variables

Removed Method

All requested variables entered. a.

Dependent Variable: SDTA b.

Coefficientsa

.433 2.307

.520 1.925

.803 1.245

.807 1.239

.660 1.514

.660 1.515

NDTS TANG PROFIT RISIKO UP GO Model 1

Tolerance VIF

(37)

Uji Multikolinearitas (Indonesia)

Variables Entered/Removedb

CG, TANG, PROFIT, RISIKO, LIKUIDITA S, UP, GO, SMD, KHS, NDTSa

. Enter

Model 1

Variables Entered

Variables

Removed Method

All requested variables entered. a.

Dependent Variable: TDTDE b.

Coefficientsa

.433 2.307

.520 1.925

.803 1.245

.807 1.239

.660 1.514

.660 1.515

.769 1.301

.597 1.676

.626 1.598

.614 1.628

NDTS TANG PROFIT RISIKO UP GO

LIKUIDITAS KHS SMD CG Model 1

Tolerance VIF

Collinearity Statistics

(38)

Uji Multikolinearitas (Indonesia)

Variables Entered/Removedb

CG, TANG, PROFIT, RISIKO, LIKUIDITA S, UP, GO, SMD, KHS, NDTSa

. Enter

Model 1

Variables Entered

Variables

Removed Method

All requested variables entered. a.

Dependent Variable: LDTDE b.

Coefficientsa

.433 2.307

.520 1.925

.803 1.245

.807 1.239

.660 1.514

.660 1.515

NDTS TANG PROFIT RISIKO UP GO Model 1

Tolerance VIF

(39)

Uji Multikolinearitas (Indonesia)

Variables Entered/Removedb

CG, TANG, PROFIT, RISIKO, LIKUIDITA S, UP, GO, SMD, KHS, NDTSa

. Enter

Model 1

Variables Entered

Variables

Removed Method

All requested variables entered. a.

Dependent Variable: SDTDE b.

Coefficientsa

.433 2.307

.520 1.925

.803 1.245

.807 1.239

.660 1.514

.660 1.515

.769 1.301

.597 1.676

.626 1.598

.614 1.628

NDTS TANG PROFIT RISIKO UP GO

LIKUIDITAS KHS SMD CG Model 1

Tolerance VIF

Collinearity Statistics

(40)

Uji Heteroskedastisitas (Indonesia)

e

g

re

s

s

io

n

S

tu

d

e

n

ti

z

e

d

R

e

s

id

u

a

l

3

2

1

0

-1

Scatterplot

(41)

Uji Heteroskedastisitas (Indonesia)

Regression Standardized Predicted Value

3 2

1 0

-1 -2

R

e

g

re

s

s

io

n

S

tu

d

e

n

ti

z

e

d

R

e

s

id

u

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l

3

2

1

0

-1

-2

-3

Scatterplot

(42)

Uji Heteroskedastisitas (Indonesia)

e

g

re

s

s

io

n

S

tu

d

e

n

ti

z

e

d

R

e

s

id

u

a

l

3

2

1

0

-1

-2

Scatterplot

(43)

Uji Heteroskedastisitas (Indonesia)

Regression Standardized Predicted Value

2 1

0 -1

-2 -3

R

e

g

re

s

s

io

n

S

tu

d

e

n

ti

z

e

d

R

e

s

id

u

a

l

2

1

0

-1

-2

-3

Scatterplot

(44)

Uji Heteroskedastisitas (Indonesia)

e

g

re

s

s

io

n

S

tu

d

e

n

ti

z

e

d

R

e

s

id

u

a

l

3

2

1

0

-1

-2

Scatterplot

(45)

Uji Heteroskedastisitas (Indonesia)

Regression Standardized Predicted Value

2 1

0 -1

-2 -3

R

e

g

re

s

s

io

n

S

tu

d

e

n

ti

z

e

d

R

e

s

id

u

a

l

3

2

1

0

-1

-2

Scatterplot

(46)

Uji Autokorelasi (Indonesia)

Variables Entered/Removedb

CG, TANG, PROFIT, RISIKO, LIKUIDITA S, UP, GO, SMD, KHS, NDTSa

. Enter

Model 1

Variables Entered

Variables

Removed Method

All requested variables entered. a.

Dependent Variable: DTA b.

Model Summaryb

.578a .334 .243 .15394 2.402

Model 1

R R Square

Adjusted R Square

Std. Error of

the Estimate Durbin-Watson

Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS a.

Dependent Variable: DTA b.

ANOVAb

.878 10 .088 3.703 .000a

1.754 74 .024

2.631 84

Regression Residual Total Model

1

Sum of

Squares df Mean Square F Sig.

Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS a.

Dependent Variable: DTA b.

Coefficientsa

-1.380 .476 -2.903 .005

.210 .083 .363 2.516 .014

-.031 .055 -.075 -.566 .573

-.055 .128 -.045 -.427 .671

.023 .020 .121 1.145 .256

.003 .006 .058 .500 .618

.318 .662 .056 .480 .633

(Constant) NDTS TANG PROFIT RISIKO UP GO Model 1

B Std. Error

Unstandardized Coefficients

Beta Standardized

Coefficients

(47)

Uji Autokorelasi (Indonesia)

Variables Entered/Removedb

CG, TANG, PROFIT, RISIKO, LIKUIDITA S, UP, GO, SMD, KHS, NDTSa

. Enter

Model 1

Variables Entered

Variables

Removed Method

All requested variables entered. a.

Dependent Variable: LDTA b.

Model Summaryb

.640a .410 .330 .10124 2.356

Model 1

R R Square

Adjusted R Square

Std. Error of

the Estimate Durbin-Watson

Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS a.

Dependent Variable: LDTA b.

ANOVAb

.527 10 .053 5.142 .000a

.759 74 .010

1.286 84

Regression Residual Total Model

1

Sum of

Squares df Mean Square F Sig.

Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS a.

Dependent Variable: LDTA b.

Coefficientsa

-.872 .313 -2.788 .007

.059 .055 .145 1.071 .288

-.019 .036 -.067 -.539 .591

-.314 .084 -.371 -3.729 .000

.032 .013 .244 2.452 .017

-.002 .004 -.049 -.443 .659

-.099 .435 -.025 -.226 .821

-.008 .008 -.097 -.955 .343

-.004 .044 -.010 -.083 .934

.045 .013 .381 3.373 .001

.205 .508 .046 .405 .687

(Constant) NDTS TANG PROFIT RISIKO UP GO

LIKUIDITAS KHS SMD CG Model 1

B Std. Error

Unstandardized Coefficients

Beta Standardized

Coefficients

t Sig.

(48)

Uji Autokorelasi (Indonesia)

Variables Entered/Removedb

CG, TANG, PROFIT, RISIKO, LIKUIDITA S, UP, GO, SMD, KHS, NDTSa

. Enter

Model 1

Variables Entered

Variables

Removed Method

All requested variables entered. a.

Dependent Variable: SDTA b.

Model Summaryb

.669a .448 .373 .08756 1.779

Model 1

R R Square

Adjusted R Square

Std. Error of

the Estimate Durbin-Watson

Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS a.

Dependent Variable: SDTA b.

ANOVAb

.460 10 .046 5.998 .000a

.567 74 .008

1.027 84

Regression Residual Total Model

1

Sum of

Squares df Mean Square F Sig.

Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS a.

Dependent Variable: SDTA b.

Coefficientsa

-.232 .270 -.859 .393

.019 .047 .052 .398 .692

-.011 .031 -.042 -.349 .728

.379 .073 .501 5.203 .000

-.017 .011 -.149 -1.546 .126

.004 .003 .126 1.181 .241

.276 .377 .078 .734 .466

(Constant) NDTS TANG PROFIT RISIKO UP GO Model 1

B Std. Error

Unstandardized Coefficients

Beta Standardized

Coefficients

(49)

Uji Autokorelasi (Indonesia)

Variables Entered/Removedb

CG, TANG, PROFIT, RISIKO, LIKUIDITA S, UP, GO, SMD, KHS, NDTSa

. Enter

Model 1

Variables Entered

Variables

Removed Method

All requested variables entered. a.

Dependent Variable: TDTDE b.

Model Summaryb

.897a .805 .778 .14405 1.892

Model 1

R R Square

Adjusted R Square

Std. Error of

the Estimate Durbin-Watson

Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS a.

Dependent Variable: TDTDE b.

ANOVAb

6.321 10 .632 30.463 .000a

1.535 74 .021

7.856 84

Regression Residual Total Model

1

Sum of

Squares df Mean Square F Sig.

Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS a.

Dependent Variable: TDTDE b.

Coefficientsa

.494 .445 1.109 .271

.277 .078 .278 3.556 .001

-.053 .051 -.074 -1.041 .301

-.174 .120 -.083 -1.449 .152

.015 .018 .046 .796 .429

.080 .005 .972 15.371 .000

.518 .620 .053 .836 .406

-.031 .011 -.162 -2.759 .007

.093 .063 .098 1.472 .145

-.091 .019 -.312 -4.807 .000

1.018 .722 .092 1.409 .163

(Constant) NDTS TANG PROFIT RISIKO UP GO

LIKUIDITAS KHS SMD CG Model 1

B Std. Error

Unstandardized Coefficients

Beta Standardized

Coefficients

t Sig.

(50)

Uji Autokorelasi (Indonesia)

Variables Entered/Removedb

CG, TANG, PROFIT, RISIKO, LIKUIDITA S, UP, GO, SMD, KHS, NDTSa

. Enter

Model 1

Variables Entered

Variables

Removed Method

All requested variables entered. a.

Dependent Variable: LDTDE b.

Model Summaryb

.696a .485 .415 .12054 2.213

Model 1

R R Square

Adjusted R Square

Std. Error of

the Estimate Durbin-Watson

Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS a.

Dependent Variable: LDTDE b.

ANOVAb

1.011 10 .101 6.957 .000a

1.075 74 .015

2.086 84

Regression Residual Total Model

1

Sum of

Squares df Mean Square F Sig.

Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS a.

Dependent Variable: LDTDE b.

Coefficientsa

.110 .372 .295 .769

.074 .065 .144 1.134 .260

-.014 .043 -.039 -.335 .739

-.298 .100 -.277 -2.971 .004

.036 .015 .218 2.342 .022

.025 .004 .599 5.830 .000

.064 .519 .013 .123 .903

(Constant) NDTS TANG PROFIT RISIKO UP GO Model 1

B Std. Error

Unstandardized Coefficients

Beta Standardized

Coefficients

(51)

Uji Autokorelasi (Indonesia)

Variables Entered/Removedb

CG, TANG, PROFIT, RISIKO, LIKUIDITA S, UP, GO, SMD, KHS, NDTSa

. Enter

Model 1

Variables Entered

Variables

Removed Method

All requested variables entered. a.

Dependent Variable: SDTDE b.

Model Summaryb

.866a .751 .717 .10407 2.066

Model 1

R R Square

Adjusted R Square

Std. Error of

the Estimate Durbin-Watson

Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS a.

Dependent Variable: SDTDE b.

ANOVAb

2.415 10 .241 22.296 .000a

.801 74 .011

3.216 84

Regression Residual Total Model

1

Sum of

Squares df Mean Square F Sig.

Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS a.

Dependent Variable: SDTDE b.

Coefficientsa

.402 .321 1.251 .215

.168 .056 .263 2.988 .004

-.017 .037 -.038 -.466 .642

.281 .087 .210 3.241 .002

-.032 .013 -.156 -2.414 .018

.051 .004 .980 13.725 .000

.447 .448 .071 .999 .321

-.022 .008 -.176 -2.663 .010

.083 .045 .136 1.817 .073

-.068 .014 -.362 -4.930 .000

1.007 .522 .143 1.931 .057

(Constant) NDTS TANG PROFIT RISIKO UP GO

LIKUIDITAS KHS SMD CG Model 1

B Std. Error

Unstandardized Coefficients

Beta Standardized

Coefficients

t Sig.

(52)

Regression (Indonesia)

Variables Entered/Removedb

CG, TANG, PROFIT, RISIKO, LIKUIDITA S, UP, GO, SMD, KHS, NDTSa

. Enter

Model 1

Variables Entered

Variables

Removed Method

All requested variables entered. a.

Dependent Variable: DTA b.

Model Summary

.578a .334 .243 .15394

Model 1

R R Square

Adjusted R Square

Std. Error of the Estimate

Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS a.

ANOVAb

.878 10 .088 3.703 .000a

1.754 74 .024

2.631 84

Regression Residual Total Model

1

Sum of

Squares df Mean Square F Sig.

Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS a.

Dependent Variable: DTA b.

Coefficientsa

-1.380 .476 -2.903 .005

.210 .083 .363 2.516 .014

-.031 .055 -.075 -.566 .573

-.055 .128 -.045 -.427 .671

.023 .020 .121 1.145 .256

.003 .006 .058 .500 .618

.318 .662 .056 .480 .633

(Constant) NDTS TANG PROFIT RISIKO UP GO Model 1

B Std. Error

Unstandardized Coefficients

Beta Standardized

Coefficients

(53)

Regression (Indonesia)

Variables Entered/Removedb

CG, TANG, PROFIT, RISIKO, LIKUIDITA S, UP, GO, SMD, KHS, NDTSa

. Enter

Model 1

Variables Entered

Variables

Removed Method

All requested variables entered. a.

Dependent Variable: LDTA b.

Model Summary

.640a .410 .330 .10124

Model 1

R R Square

Adjusted R Square

Std. Error of the Estimate

Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS a.

ANOVAb

.527 10 .053 5.142 .000a

.759 74 .010

1.286 84

Regression Residual Total Model

1

Sum of

Squares df Mean Square F Sig.

Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS a.

Dependent Variable: LDTA b.

Coefficientsa

-.872 .313 -2.788 .007

.059 .055 .145 1.071 .288

-.019 .036 -.067 -.539 .591

-.314 .084 -.371 -3.729 .000

.032 .013 .244 2.452 .017

-.002 .004 -.049 -.443 .659

-.099 .435 -.025 -.226 .821

-.008 .008 -.097 -.955 .343

-.004 .044 -.010 -.083 .934

.045 .013 .381 3.373 .001

.205 .508 .046 .405 .687

(Constant) NDTS TANG PROFIT RISIKO UP GO

LIKUIDITAS KHS SMD CG Model 1

B Std. Error

Unstandardized Coefficients

Beta Standardized

Coefficients

t Sig.

(54)

Regression (Indonesia)

Variables Entered/Removedb

CG, TANG, PROFIT, RISIKO, LIKUIDITA S, UP, GO, SMD, KHS, NDTSa

. Enter

Model 1

Variables Entered

Variables

Removed Method

All requested variables entered. a.

Dependent Variable: SDTA b.

Model Summary

.669a .448 .373 .08756

Model 1

R R Square

Adjusted R Square

Std. Error of the Estimate

Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS a.

ANOVAb

.460 10 .046 5.998 .000a

.567 74 .008

1.027 84

Regression Residual Total Model

1

Sum of

Squares df Mean Square F Sig.

Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS a.

Dependent Variable: SDTA b.

Coefficientsa

-.232 .270 -.859 .393

.019 .047 .052 .398 .692

-.011 .031 -.042 -.349 .728

.379 .073 .501 5.203 .000

-.017 .011 -.149 -1.546 .126

.004 .003 .126 1.181 .241

.276 .377 .078 .734 .466

(Constant) NDTS TANG PROFIT RISIKO UP GO Model 1

B Std. Error

Unstandardized Coefficients

Beta Standardized

Coefficients

(55)

Regression (Indonesia)

Variables Entered/Removedb

CG, TANG, PROFIT, RISIKO, LIKUIDITA S, UP, GO, SMD, KHS, NDTSa

. Enter

Model 1

Variables Entered

Variables

Removed Method

All requested variables entered. a.

Dependent Variable: TDTDE b.

Model Summary

.897a .805 .778 .14405

Model 1

R R Square

Adjusted R Square

Std. Error of the Estimate

Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS a.

ANOVAb

6.321 10 .632 30.463 .000a

1.535 74 .021

7.856 84

Regression Residual Total Model

1

Sum of

Squares df Mean Square F Sig.

Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS a.

Dependent Variable: TDTDE b.

Coefficientsa

.494 .445 1.109 .271

.277 .078 .278 3.556 .001

-.053 .051 -.074 -1.041 .301

-.174 .120 -.083 -1.449 .152

.015 .018 .046 .796 .429

.080 .005 .972 15.371 .000

.518 .620 .053 .836 .406

-.031 .011 -.162 -2.759 .007

.093 .063 .098 1.472 .145

-.091 .019 -.312 -4.807 .000

1.018 .722 .092 1.409 .163

(Constant) NDTS TANG PROFIT RISIKO UP GO

LIKUIDITAS KHS SMD CG Model 1

B Std. Error

Unstandardized Coefficients

Beta Standardized

Coefficients

t Sig.

(56)

Regression (Indonesia)

Variables Entered/Removedb

CG, TANG, PROFIT, RISIKO, LIKUIDITA S, UP, GO, SMD, KHS, NDTSa

. Enter

Model 1

Variables Entered

Variables

Removed Method

All requested variables entered. a.

Dependent Variable: LDTDE b.

Model Summary

.696a .485 .415 .12054

Model 1

R R Square

Adjusted R Square

Std. Error of the Estimate

Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS a.

ANOVAb

1.011 10 .101 6.957 .000a

1.075 74 .015

2.086 84

Regression Residual Total Model

1

Sum of

Squares df Mean Square F Sig.

Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS a.

Dependent Variable: LDTDE b.

Coefficientsa

.110 .372 .295 .769

.074 .065 .144 1.134 .260

-.014 .043 -.039 -.335 .739

-.298 .100 -.277 -2.971 .004

.036 .015 .218 2.342 .022

.025 .004 .599 5.830 .000

.064 .519 .013 .123 .903

(Constant) NDTS TANG PROFIT RISIKO UP GO Model 1

B Std. Error

Unstandardized Coefficients

Beta Standardized

Coefficients

(57)

Regression (Indonesia)

Variables Entered/Removedb

CG, TANG, PROFIT, RISIKO, LIKUIDITA S, UP, GO, SMD, KHS, NDTSa

. Enter

Model 1

Variables Entered

Variables

Removed Method

All requested variables entered. a.

Dependent Variable: SDTDE b.

Model Summary

.866a .751 .717 .10407

Model 1

R R Square

Adjusted R Square

Std. Error of the Estimate

Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS a.

ANOVAb

2.415 10 .241 22.296 .000a

.801 74 .011

3.216 84

Regression Residual Total Model

1

Sum of

Squares df Mean Square F Sig.

Predictors: (Constant), CG, TANG, PROFIT, RISIKO, LIKUIDITAS, UP, GO, SMD, KHS, NDTS a.

Dependent Variable: SDTDE b.

Coefficientsa

.402 .321 1.251 .215

.168 .056 .263 2.988 .004

-.017 .037 -.038 -.466 .642

.281 .087 .210 3.241 .002

-.032 .013 -.156 -2.414 .018

.051 .004 .980 13.725 .000

.447 .448 .071 .999 .321

-.022 .008 -.176 -2.663 .010

.083 .045 .136 1.817 .073

-.068 .014 -.362 -4.930 .000

1.007 .522 .143 1.931 .057

(Constant) NDTS TANG PROFIT RISIKO UP GO

LIKUIDITAS KHS SMD CG Model 1

B Std. Error

Unstandardized Coefficients

Beta Standardized

Coefficients

t Sig.

(58)

Uji Normalitas (Filipina)

One-Sample Kolmogorov-Smirnov Test

75 75 75 75 75 75

.0000000 .0000000 .0000000 .0000000 .0000000 .0000000 .15235714 .11133413 .07722038 .14051083 .06845900 .04954054

.109 .070 .105 .201 .208 .181

.109 .060 .105 .201 .208 .181

-.079 -.070 -.076 -.086 -.091 -.117

N

Mean

Std. Deviation Normal Parametersa,b

Absolute Positive Negative Most Extreme

Differences

Unstandardize d Residual

Unstandardize d Residual

Unstandardize d Residual

Unstandardize d Residual

Unstandardize d Residual

(59)

Uji Multikolinearitas (Filipina)

Variables Entered/Removedb

CG, UP, RISIKO, NDTS, SMD, GO, PROFIT, TANG, LIKUIDITA S, KHSa

. Enter

Model 1

Variables Entered

Variables

Removed Method

All requested variables entered. a.

Dependent Variable: DTA b.

Coefficientsa

.751 1.332

.785 1.273

.871 1.148

.945 1.058

.796 1.256

.499 2.002

.685 1.461

.226 4.430

.907 1.103

.309 3.231

NDTS TANG PROFIT RISIKO UP GO

LIKUIDITAS KHS SMD CG Model 1

Tolerance VIF

Collinearity Statistics

(60)

Uji Multikolinearitas (Filipina)

Variables Entered/Removedb

CG, UP, RISIKO, NDTS, SMD, GO, PROFIT, TANG, LIKUIDITA S, KHSa

. Enter

Model 1

Variables Entered

Variables

Removed Method

All requested variables entered. a.

Dependent Variable: LDTA b.

Coefficientsa

.751 1.332

.785 1.273

.871 1.148

.945 1.058

.796 1.256

.499 2.002

NDTS TANG PROFIT RISIKO UP GO Model 1

Tolerance VIF

(61)

Uji Multikolinearitas (Filipina)

Variables Entered/Removedb

CG, UP, RISIKO, NDTS, SMD, GO, PROFIT, TANG, LIKUIDITA S, KHSa

. Enter

Model 1

Variables Entered

Variables

Removed Method

All requested variables entered. a.

Dependent Variable: SDTA b.

Coefficientsa

.751 1.332

.785 1.273

.871 1.148

.945 1.058

.796 1.256

.499 2.002

.685 1.461

.226 4.430

.907 1.103

.309 3.231

NDTS TANG PROFIT RISIKO UP GO

LIKUIDITAS KHS SMD CG Model 1

Tolerance VIF

Collinearity Statistics

(62)

Uji Multikolinearitas (Filipina)

Variables Entered/Removedb

CG, UP, RISIKO, NDTS, SMD, GO, PROFIT, TANG, LIKUIDITA S, KHSa

. Enter

Model 1

Variables Entered

Variables

Removed Method

All requested variables entered. a.

Dependent Variable: TDTDE b.

Coefficientsa

.751 1.332

.785 1.273

.871 1.148

.945 1.058

.796 1.256

.499 2.002

NDTS TANG PROFIT RISIKO UP GO Model 1

Tolerance VIF

(63)

Uji Multikolinearitas (Filipina)

Variables Entered/Removedb

CG, UP, RISIKO, NDTS, SMD, GO, PROFIT, TANG, LIKUIDITA S, KHSa

. Enter

Model 1

Variables Entered

Variables

Removed Method

All requested variables entered. a.

Dependent Variable: LDTDE b.

Coefficientsa

.751 1.332

.785 1.273

.871 1.148

.945 1.058

.796 1.256

.499 2.002

.685 1.461

.226 4.430

.907 1.103

.309 3.231

NDTS TANG PROFIT RISIKO UP GO

LIKUIDITAS KHS SMD CG Model 1

Tolerance VIF

Collinearity Statistics

(64)

Uji Multikolinearitas (Filipina)

Variables Entered/Removedb

CG, UP, RISIKO, NDTS, SMD, GO, PROFIT, TANG, LIKUIDITA S, KHSa

. Enter

Model 1

Variables Entered

Variables

Removed Method

All requested variables entered. a.

Dependent Variable: SDTDE b.

Coefficientsa

.751 1.332

.785 1.273

.871 1.148

.945 1.058

.796 1.256

.499 2.002

NDTS TANG PROFIT RISIKO UP GO Model 1

Tolerance VIF

(65)

Uji Heteroskedastisitas (Filipina)

Regression Standardized Predicted Value

3 2

1 0

-1 -2

-3

R

e

g

re

s

s

io

n

S

tu

d

e

n

ti

z

e

d

R

e

s

id

u

a

l

4

2

0

-2

Scatterplot

(66)

Uji Heteroskedastisitas (Filipina)

e

g

re

s

s

io

n

S

tu

d

e

n

ti

z

e

d

R

e

s

id

u

a

l

3

2

1

0

-1

Scatterplot

(67)

Uji Heteroskedastisitas (Filipina)

Regression Standardized Predicted Value 2 0

-2 -4

R

e

g

re

s

s

io

n

S

tu

d

e

n

ti

z

e

d

R

e

s

id

u

a

l

4

2

0

-2

Scatterplot

(68)

Uji Heteroskedastisitas (Filipina)

e

g

re

s

s

io

n

S

tu

d

e

n

ti

z

e

d

R

e

s

id

u

a

l

6

4

2

0

Scatterplot

(69)

Uji Heteroskedastisitas (Filipina)

Regression Standardized Predicted Value

4 2

0 -2

-4

R

e

g

re

s

s

io

n

S

tu

d

e

n

ti

z

e

d

R

e

s

id

u

a

l

6

4

2

0

-2

Scatterplot

(70)

Uji Heteroskedastisitas (Filipina)

e

g

re

s

s

io

n

S

tu

d

e

n

ti

z

e

d

R

e

s

id

u

a

l

4

2

0

Scatterplot

(71)

Uji Autokorelasi (Filipina)

Variables Entered/Removedb

CG, UP, RISIKO, NDTS, SMD, GO, PROFIT, TANG, LIKUIDITA S, KHSa

. Enter

Model 1

Variables Entered

Variables

Removed Method

All requested variables entered. a.

Dependent Variable: DTA b.

Model Summaryb

.286a .082 -.062 .16383 1.591

Model 1

R R Square

Adjusted R Square

Std. Error of

the Estimate Durbin-Watson

Predictors: (Constant), CG, UP, RISIKO, NDTS, SMD, GO, PROFIT, TANG, LIKUIDITAS, KHS a.

Dependent Variable: DTA b.

ANOVAb

.153 10 .015 .569 .833a

1.718 64 .027

1.870 74

Regression Residual Total Model

1

Sum of

Squares df Mean Square F Sig.

Predictors: (Constant), CG, UP, RISIKO, NDTS, SMD, GO, PROFIT, TANG, LIKUIDITAS, KHS a.

Dependent Variable: DTA b.

Coefficientsa

.417 .600 .696 .489

-.426 .644 -.091 -.661 .511

.140 .076 .248 1.834 .071

.000 .002 -.019 -.146 .885

-.002 .007 -.026 -.209 .835

.004 .007 .072 .533 .596

.535 .468 .194 1.145 .256

-.003 .007 -.069 -.476 .636

.161 .174 .233 .926 .358

-.004 .023 -.022 -.178 .859

.283 .324 .188 .872 .386

(Constant) NDTS TANG PROFIT RISIKO UP GO

LIKUIDITAS KHS SMD CG Model 1

B Std. Error

Unstandardized Coefficients

Beta Standardized

Coefficients

t Sig.

(72)

Uji Autokorelasi (Filipina)

Variables Entered/Removedb

CG, UP, RISIKO, NDTS, SMD, GO, PROFIT, TANG, LIKUIDITA S, KHSa

. Enter

Model 1

Variables Entered

Variables

Removed Method

All requested variables entered. a.

Dependent Variable: LDTA b.

Model Summaryb

.503a .253 .136 .11972 1.891

Model 1

R R Square

Adjusted R Square

Std. Error of

the Estimate Durbin-Watson

Predictors: (Constant), CG, UP, RISIKO, NDTS, SMD, GO, PROFIT, TANG, LIKUIDITAS, KHS a.

Dependent Variable: LDTA b.

ANOVAb

.311 10 .031 2.167 .031a

.917 64 .014

1.228 74

Regression Residual Total Model

1

Sum of

Squares df Mean Square F Sig.

Predictors: (Constant), CG, UP, RISIKO, NDTS, SMD, GO, PROFIT, TANG, LIKUIDITAS, KHS a.

Dependent Variable: LDTA b.

Coefficientsa

-.243 .438 -.555 .581

-1.121 .471 -.297 -2.381 .020

.211 .056 .461 3.781 .000

.001 .001 .071 .616 .540

.006 .005 .115 1.037 .304

.006 .005 .147 1.211 .230

-.153 .342 -.069 -.448 .655

(Constant) NDTS TANG PROFIT RISIKO UP GO Model 1

B Std. Error

Unstandardized Coefficients

Beta Standardized

Coefficients

(73)

Uji Autokorelasi (Filipina)

Variables Entered/Removedb

CG, UP, RISIKO, NDTS, SMD, GO, PROFIT, TANG, LIKUIDITA S, KHSa

. Enter

Model 1

Variables Entered

Variables

Removed Method

All requested variables entered. a.

Dependent Variable: SDTA b.

Model Summaryb

.667a .444 .357 .08303 2.478

Model 1

R R Square

Adjusted R Square

Std. Error of

the Estimate Durbin-Watson

Predictors: (Constant), CG, UP, RISIKO, NDTS, SMD, GO, PROFIT, TANG, LIKUIDITAS, KHS a.

Dependent Variable: SDTA b.

ANOVAb

.353 10 .035 5.117 .000a

.441 64 .007

.794 74

Regression Residual Total Model

1

Sum of

Squares df Mean Square F Sig.

Predictors: (Constant), CG, UP, RISIKO, NDTS, SMD, GO, PROFIT, TANG, LIKUIDITAS, KHS a.

Dependent Variable: SDTA b.

Coefficientsa

.438 .304 1.441 .155

1.069 .327 .352 3.274 .002

-.074 .039 -.201 -1.911 .060

.001 .001 .097 .974 .334

-.001 .004 -.038 -.394 .695

.006 .004 .170 1.627 .109

.210 .237 .117 .884 .380

-.016 .003 -.510 -4.524 .000

-.044 .088 -.097 -.495 .622

-.014 .012 -.119 -1.214 .229

-.113 .164 -.115 -.689 .493

(Constant) NDTS TANG PROFIT RISIKO UP GO

LIKUIDITAS KHS SMD CG Model 1

B Std. Error

Unstandardized Coefficients

Beta Standardized

Coefficients

t Sig.

(74)

Uji Autokorelasi (Filipina)

Variables Entered/Removedb

CG, UP, RISIKO, NDTS, SMD, GO, PROFIT, TANG, LIKUIDITA S, KHSa

. Enter

Model 1

Variables Entered

Variables

Removed Method

Referensi

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