lampiran 1 data perusahaan keuangan dan perbankan yang ...eprints.umpo.ac.id/3980/8/lampiran...

124

Lampiran 1

Data Perusahaan Keuangan dan Perbankan yang Terdaftar di Bursa Efek

Indonesia Periode 31 Desember 2016

FINANCE

BANK

No. Nama Perusahaan Kode

1 Bank Rakyat Indonesia Agroniaga Tbk AGRO

2 Bank Agris AGRS

3 Bank Artos Indonesia Tbk ARTO

4 Bank MNC Internasional Tbk BABP

5 Bank Capital Indonesia BACA

6 Bank Central Asia Tbk. BBCA

7 Bank Harda Internasional Tbk. HHBI

8 Bank Bukopin Tbk. BBKP

9 Bank Mestika Dharma Tbk. BBMD

10 Bank Negara Indonesia (Persero) Tbk. BBNI

11 Bank Nusantara Parahyangan Tbk. BBNP

12 Bank Rakyat Indonesia (Persero) Tbk. BBRI

13 Bank Tabungan Negara (Persero) Tbk. BBTN

14 Bank Yudha Bhakti Tbk. BBYB

15 Bank JTrust Indonesia Tbk. BCIC

16 Bank Danamon Indonesia Tbk. BDMN

17 Bank Pembangunan Daerah Banten Tbk. BEKS

18 Bank Ganesha Tbk. BGTG

19 Bank Ina Perdana Tbk. BINA

20 BPD Jawa Barat dan Banten Tbk. BJBR

21 BPD Jawa Timur Tbk. BJTM

22 Bank QNB Indonesia Tbk. BKSW

23 Bank Maspion Indonesia Tbk. BMAS

24 Bank Mandiri (Persero) Tbk. BMRI

25 Bank Bumi Arta Tbk. BNBA

26 Bank CIMB Niaga Tbk. BNGA

27 Bank Maybank Indonesia Tbk. BNII

28 Bank Permata Tbk. BNLI

29 Bank Sinarmas Tbk. BSIM

30 Bank of India Indonesia Tbk. BSWD

31 Bank Tabungan Pensiunan Nasional Tbk. BTPN

125

32 Bank Victoria International Tbk. BVIC

33 Bank Dinar Indonesia Tbk. DNAR

34 Bank Artha Graha Internasional Tbk. INPC

35 Bank Mayapada Internasional Tbk. MAYA

36 Bank China Construction Bank Indonesia

Tbk. MCOR

37 Bank Mega Tbk. MEGA

38 Bank Mitraniaga Tbk. NAGA

39 Bank OCBC NISP Tbk. NISP

40 Bank Nationalnobu Tbk. NOBU

41 Bank Pan Indonesia Tbk. PNBN

42 Bank Panin Dubai Syariah Tbk. [S PNBS

43 Bank Woori Saudara Indonesia 1906 Tbk. SDRA

FINANCIAL INSTITUTION

1 Adira Dinamika Multi Finance Tbk ADMF

2 Buana Finance Tbk. BBLD

3 BFI Finance Indonesia Tbk BFIN

4 Batavia Prosperindo Finance Tbk BPFI

5 Clipan Finance Indonesia Tbk. CFIN

6 Danasupra Erapacific Tbk DEFI

7 First Indo American Leasing Tbk FINN

8 Radana Bhaskara Finance Tbk HDFA

9 Intan Baruprana Finance Tbk IBFN

10 Indomobil Multi Jasa Tbk IJMS

11 Mandala Multifinance Tbk MFIN

12 Magna Finance Tbk MGNA

13 Tifa Finance Tbk TIFA

14 Trust Finance Indonesia Tbk TRUS

15 Verena Multi Finance Tbk VRNA

16 Wahana Ottomitra Multiartha Tbk WOMF

SECURITIES COMPANY

1 Majapahit Inti Corpora Tbk AKSI

2 HD Capital Tbk HADE

3 Kresna Graha Investama Tbk KREN

4 Minna Padi Investama Sekuritas Tbk PADI

5 Panin Sekuritas Tbk PANS

6 Panca Global Securities Tbk. PAGE

7 Reliance Securities Tbk RELI

8 Trimegah Sekuritas Indonesia Tbk TRIM

126

9 Yulie Sekuritas Indonesia Tbk YULE

INSURANCE

1 Asuransi Bina Dana Arta Tbk ABDA

2 Asuransi Harta Aman Pratama Tbk AHAP

3 Asuransi Multi Artha Guna Tbk AMAG

4 Asuransi Bintang Tbk. ASBI

5 Asuransi Dayin Mitra Tbk ASDM

6 Asuransi Jasa Tania Tbk ASJT

7 Asuransi Kresna Mitra Tbk ASMI

8 Asuransi Ramayana Tbk ASRM

9 Lippo General Insurance Tbk LPGI

10 Maskapai Reasuransi Indonesia Tbk MREI

11 Paninvest Tbk. PNIN

12 Victoria Insurance Tbk

INVESTMENT FUND/MUTUAL FUND

OTHERS

1 Pacific Strategic Financial Tbk APIC

2 MNC Kapital Indonesia Tbk BCAP

3 Batavia Prosperindo International Tbk BPFI

4 Capital Financial Indonesia Tbk CASA

5 Equity Development Investment Tbk GSMF

6 Lippo Securities Tbk LPPS

7 Capitalinc Investment Tbk MTFN

8 Panin Financial Tbk PNLF

9 Sinar Mas Multiartha Tbk SMMA

10 Victoria Investama Tbk VICO

Sumber: IDX Statistik (data diolah 2018)

127

Lampiran 2

Data Pemilihan Sampel

No Nama Perusahaan Kode a b c d ∑

Sampel

Bank

1 Bank Rakyat Indonesia Agroniaga

Tbk AGRO

√

2 Bank Agris AGRS √

3 Bank Artos Indonesia Tbk ARTO √

4 Bank MNC Internasional Tbk BABP √

5 Bank Capital Indonesia BACA √

6 Bank Central Asia Tbk. BBCA √

7 Bank Harda Internasional Tbk. HHBI √

8 Bank Bukopin Tbk. BBKP √

9 Bank Mestika Dharma Tbk. BBMD √

10 Bank Negara Indonesia (Persero)

Tbk. BBNI

√

11 Bank Nusantara Parahyangan Tbk. BBNP √

12 Bank Rakyat Indonesia (Persero)

Tbk. BBRI

√

13

Bank Tabungan Negara (Persero)

Tbk. BBTN √

14 Bank Yudha Bhakti Tbk. BBYB √

15 Bank JTrust Indonesia Tbk. BCIC √

16 Bank Danamon Indonesia Tbk. BDMN √

17

Bank Pembangunan Daerah

Banten Tbk. BEKS √

18 Bank Ganesha Tbk. BGTG √

19 Bank Ina Perdana Tbk. BINA √

20 BPD Jawa Barat dan Banten Tbk. BJBR √

21 BPD Jawa Timur Tbk. BJTM √

22 Bank QNB Indonesia Tbk. BKSW √

23 Bank Maspion Indonesia Tbk. BMAS √

24 Bank Mandiri (Persero) Tbk. BMRI √

25 Bank Bumi Arta Tbk. BNBA √

26 Bank CIMB Niaga Tbk. BNGA √

27 Bank Maybank Indonesia Tbk. BNII √

28 Bank Permata Tbk. BNLI √

128

29 Bank Sinarmas Tbk. BSIM √

30 Bank of India Indonesia Tbk. BSWD √

31

Bank Tabungan Pensiunan

Nasional Tbk. BTPN √

32 Bank Victoria International Tbk. BVIC √

33 Bank Dinar Indonesia Tbk. DNAR √

34

Bank Artha Graha Internasional

Tbk. INPC √

35

Bank Mayapada Internasional

Tbk. MAYA √

36 Bank China Construction Bank

Indonesia Tbk. MCOR √

37 Bank Mega Tbk. MEGA √

38 Bank Mitraniaga Tbk. NAGA √

39 Bank OCBC NISP Tbk. NISP √

40 Bank Nationalnobu Tbk. NOBU √

41 Bank Pan Indonesia Tbk. PNBN √

42 Bank Panin Dubai Syariah Tbk. [S PNBS √

43 Bank Woori Saudara Indonesia

1906 Tbk. SDRA √

Financial Institution

1 Adira Dinamika Multi Finance

Tbk ADMF √

2 Buana Finance Tbk. BBLD √

3 BFI Finance Indonesia Tbk BFIN √

4 Batavia Prosperindo Finance Tbk BPFI √

5 Clipan Finance Indonesia Tbk. CFIN √

6 Danasupra Erapacific Tbk DEFI √

7 First Indo American Leasing Tbk FINN √

8 Radana Bhaskara Finance Tbk HDFA √

9 Intan Baruprana Finance Tbk IBFN √

10 Indomobil Multi Jasa Tbk IJMS √

11 Mandala Multifinance Tbk MFIN √

12 Magna Finance Tbk MGNA √

13 Tifa Finance Tbk TIFA √

14 Trust Finance Indonesia Tbk TRUS √

15 Verena Multi Finance Tbk VRNA √

16 Wahana Ottomitra Multiartha Tbk WOMF √

Securities Company

1 Majapahit Inti Corpora Tbk AKSI √

129

2 HD Capital Tbk HADE √

3 Kresna Graha Investama Tbk KREN √

4

Minna Padi Investama Sekuritas

Tbk PADI √

5 Panin Sekuritas Tbk PANS √

6 Panca Global Securities Tbk. PAGE √

7 Reliance Securities Tbk RELI √

8 Trimegah Sekuritas Indonesia Tbk TRIM √

9 Yulie Sekuritas Indonesia Tbk YULE √

Insurance

1 Asuransi Bina Dana Arta Tbk ABDA √

2

Asuransi Harta Aman Pratama

Tbk AHAP √

3 Asuransi Multi Artha Guna Tbk AMAG √

4 Asuransi Bintang Tbk. ASBI √

5 Asuransi Dayin Mitra Tbk ASDM √

6 Asuransi Jasa Tania Tbk ASJT √

7 Asuransi Kresna Mitra Tbk ASMI √

8 Asuransi Ramayana Tbk ASRM √

9 Lippo General Insurance Tbk LPGI √

10 Maskapai Reasuransi Indonesia

Tbk MREI √

11 Paninvest Tbk. PNIN √

12 Victoria Insurance Tbk VINS √

Infestment Fund / Mutual Fund

Others

1 Pacific Strategic Financial Tbk APIC √

2 MNC Kapital Indonesia Tbk BCAP √

3 Batavia Prosperindo International

Tbk BPFI √

4 Capital Financial Indonesia Tbk CASA √

5 Equity Development Investment

Tbk GSMF √

6 Lippo Securities Tbk LPPS √

7 Capitalinc Investment Tbk MTFN √

8 Panin Financial Tbk PNLF √

9 Sinar Mas Multiartha Tbk SMMA √

10 Victoria Investama Tbk VICO √

JUMLAH 28 37 3 6 16

130

Keterangan:

a Laporan keuangan tidak berturut-turut selama 2012-

2016

b Tidak mempunyai kepemilikan terkonsentrasi

c Tidak mempunyai komisaris independen

d Perusahaan yang mengalami rugi

131

Lampiran 3

Daftar Sampel Perusahaan Keuangan dan Perbankan Periode 2012-2016

No Nama Perusahaan Jumlah

Data

Periode

Penelitian

Total

Data

1 Bank Rakyat Indonesia Agroniaga Tbk 1 5 Tahun 5

2 Bank Negara Indonesia (Persero) Tbk 1 5 Tahun 5

3 Bank Nusantara Parahyangan Tbk 1 5 Tahun 5

4 Bank RakyatIndonesia Tbk 1 5 Tahun 5

5 Bank Danamon Tbk 1 5 Tahun 5

6 Bank Mandiri Tbk 1 5 Tahun 5

7 Bank Sinarmas Tbk 1 5 Tahun 5

8 Bank China Contruction Bank Indonesia

Tbk 1 5 Tahun 5

9 Bank Mega Tbk 1 5 Tahun 5

10 Bank OCBC NISP Tbk 1 5 Tahun 5

11 Bank Woori Saudara Indonesia 1906 Tbk 1 5 Tahun 5

12 Adira Dinamika Multi Finance Tbk 1 5 Tahun 5

13 Buana Finance Tbk 1 5 Tahun 5

14 Mandala Multifinance Tbk 1 5 Tahun 5

15 Wahana Ottomitra Multiartha Tbk 1 5 Tahun 5

16 Asuransi Jasa Tania Tbk 1 5 Tahun 5

Total Sampel Penelitian 80

Data


132

Lampiran 4

Data Hasil Perhitungan Kepemilikan Terkonsentrasi (X1)

No. Kode Tahun Persentase

(%)

Kemilikan

Saham

Terkonsentrasi

(Lb)

Jumlah Saham

(Lb) Hasil

1 AGRO 2012 79,78 2.888.690.021 3.618.095.578 0,798

2013 80,43 5.992.378.973 7.450.781.177 0,804

2014 80,43 5.992.248.973 7.450.781.177 0,804

2015 87,23 10.013.470.929 11.479.715.698 0,872

2016 87,23 13.368.237.838 15.325.711.820 0,872

2 BBNI 2012 60,00 10.972.187.475 18.648.656.458 0,588

2013 60,00 10.972.187.475 18.648.656.458 0,588

2014 60,00 10.972.187.475 18.648.656.458 0,588

2015 60,00 11.189.193.875 18.648.656.458 0,600

2016 60,00 11.189.193.875 18.648.656.458 0,600

3 BBNP 2012 66,15 447.737.012 676.833.882 0,662

2013 66,15 447.737.012 676.833.882 0,662

2014 66,15 447.737.012 676.833.882 0,662

2015 66,15 447.737.012 676.833.882 0,662

2016 66,15 447.737.012 676.833.882 0,662

4 BBRI 2012 56,75 14.000.000.000 24.669.162.000 0,568

2013 56,75 14.000.000.000 24.669.162.000 0,568

2014 56,75 14.000.000.000 24.669.162.000 0,568

2015 56,75 14.000.000.000 24.669.162.000 0,568

2016 57,76 13.999.999.999 24.237.325.400 0,578

5 BDMN 2012 67,37 6.457.558.472 9.584.643.365 0,674

2013 67,37 6.457.558.472 9.584.643.365 0,674

2014 67,37 6.457.558.472 9.584.643.365 0,674

2015 67,37 6.457.558.472 9.584.643.365 0,674

2016 67,37 6.457.558.472 9.584.643.365 0,674

6 BMRI 2012 60,00 14.000.000.000 23.333.333.333 0,600

2013 60,00 14.000.000.000 23.333.333.333 0,600

Kepemilikan Terkonsentrasi = 𝐉𝐮𝐦𝐥𝐚𝐡 𝐒𝐚𝐡𝐚𝐦 ≥ 𝟓𝟎%

𝐉𝐮𝐦𝐥𝐚𝐡 𝐒𝐚𝐡𝐚𝐦 𝐁𝐞𝐫𝐞𝐝𝐚𝐫

133

2014 60,00 14.000.000.000 23.333.333.333 0,600

2015 60,00 14.000.000.000 23.333.333.333 0,600

2016 60,00 14.000.000.000 23.333.333.333 0,600

7 BSIM 2012 56,04 5.806.790.296 10.283.836.238 0,565

2013 57,17 7.498.835.150 13.116.881.498 0,572

2014 53,41 7.498.835.150 14.040.168.349 0,534

2015 52,98 7.498.835.150 14.151.999.729 0,530

2016 56,06 8.550.092.040 15.251.704.336 0,561

8 MCOR 2012 66,78 2.859.854.634 4.282.838.507 0,668

2013 66,73 3.944.798.904 5.910.894.430 0,667

2014 66,73 3.944.798.904 5.910.894.430 0,667

2015 58,61 3.831.362.904 6.536.286.535 0,586

2016 57,31 9.978.756.012 16.631.460.751 0,600

9 MEGA 2012 57,82 2.108.116.490 3.645.956.050 0,578

2013 57,82 4.026.599.755 6.963.775.206 0,578

2014 57,82 4.026.599.755 6.963.775.206 0,578

2015 57,82 4.026.599.755 6.963.775.206 0,578

2016 57,82 4.026.599.755 6.963.775.206 0,578

10 NISP 2012 85,08 7.373.245.613 8.548.918.395 0,862

2013 85,08 9.760.695.612 11.472.648.486 0,851

2014 85,08 9.760.695.612 11.472.648.486 0,851

2015 85,08 9.760.695.612 11.472.648.486 0,851

2016 85,08 9.760.695.612 11.472.648.486 0,851

11 SDRA 2012 52,92 1.225.830.675 2.316.373.000 0,529

2013 52,92 1.225.830.675 2.316.373.000 0,529

2014 74,02 3.754.701.359 5.072.356.660 0,740

2015 74,02 3.754.701.359 5.072.356.660 0,740

2016 74,02 3.754.701.359 5.072.356.660 0,740

12 ADMF 2012 95,00 950.000.000 1.000.000.000 0,950

2013 95,00 950.000.000 1.000.000.000 0,950

2014 95,00 950.000.000 1.000.000.000 0,950

2015 95,00 950.000.000 1.000.000.000 0,950

2016 92,07 950.000.000 1.000.000.000 0,950

13 BBLD 2012 67,60 1.112.584.069 1.645.796.054 0,676

2013 67,60 1.112.584.069 1.645.796.054 0,676

2014 67,60 1.112.584.069 1.645.796.054 0,676

2015 67,60 1.112.584.069 1.645.796.054 0,676

2016 67,60 1.112.584.069 1.645.796.054 0,676

14 MFIN 2012 70,42 933.000.000 1.325.000.000 0,704

134

2013 70,42 933.000.000 1.325.000.000 0,704

2014 70,42 933.000.000 1.325.000.000 0,704

2015 70,42 933.000.000 1.325.000.000 0,704

2016 70,42 933.000.000 1.325.000.000 0,704

15 WOMF 2012 62,00 1.240.000.000 2.000.000.000 0,620

2013 62,00 1.240.000.000 2.000.000.000 0,620

2014 50,03 1.000.600.000 2.000.000.000 0,500

2015 68,55 238.664.672.900 341.148.148.000 0,700

2016 68,55 238.664.672.900 341.148.148.000 0,700

16 ASJT 2012 98,10 58.860.500.000 60.000.000.000 0,981

2013 98,10 294.302.500 300.000.000 0,981

2014 96,44 289.329.100 300.000.000 0,964

2015 90,33 541.980.000 600.000.000 0,903

2016 87,61 525.670.800 600.000.000 0,876

Jumlah 964.135.371.015 1.411.314.020.306 55,522

Rata-Rata 12.051.692.138 17.641.425.254 0,694


135

Lampiran 5

Data Hasil Perhitungan Good Corporate Governance dengan Proksi Proporsi

Komisaris Independen (X2)

No Kode Tahun

∑

Komisaris

Independen

∑ Dewan

Komisaris Hasil

1 AGRO 2012 2 4 0,500

2013 3 5 0,600

2014 3 5 0,600

2015 2 4 0,500

2016 2 4 0,500

2 BBNI 2012 4 8 0,500

2013 4 7 0,571

2014 4 8 0,500

2015 5 8 0,625

2016 5 10 0,500

3 BBNP 2012 2 4 0,500

2013 2 4 0,500

2014 2 4 0,500

2015 2 4 0,500

2016 2 4 0,500

4 BBRI 2012 3 5 0,600

2013 3 5 0,600

2014 5 7 0,714

2015 5 8 0,625

2016 5 9 0,556

5 BDMN 2012 4 8 0,500

2013 4 8 0,500

2014 3 6 0,500

2015 4 7 0,571

2016 4 7 0,571

6 BMRI 2012 4 7 0,571

Proporsi Komisaris Independen= ∑ 𝐊𝐨𝐦𝐢𝐬𝐚𝐫𝐢𝐬 𝐈𝐧𝐝𝐞𝐩𝐞𝐧𝐝𝐞𝐧

∑ 𝐊𝐨𝐦𝐢𝐬𝐚𝐫𝐢𝐬

136

2013 4 7 0,571

2014 4 7 0,571

2015 4 8 0,500

2016 4 8 0,500

7 BSIM 2012 2 3 0,667

2013 2 3 0,667

2014 2 3 0,667

2015 2 3 0,667

2016 2 3 0,667

8 MCOR 2012 2 4 0,500

2013 2 3 0,667

2014 2 3 0,667

2015 2 3 0,667

2016 2 3 0,667

9 MEGA 2012 2 3 0,667

2013 2 3 0,667

2014 2 4 0,500

2015 2 4 0,500

2016 2 4 0,500

10 NISP 2012 4 8 0,500

2013 4 8 0,500

2014 4 8 0,500

2015 4 8 0,500

2016 4 8 0,500

11 SDRA 2012 2 3 0,667

2013 2 3 0,667

2014 3 4 0,750

2015 3 4 0,750

2016 3 4 0,750

12 ADMF 2012 3 6 0,500

2013 3 6 0,500

2014 3 6 0,500

2015 3 6 0,500

2016 2 6 0,333

13 BBLD 2012 1 3 0,333

2013 1 3 0,333

2014 1 3 0,333

2015 2 3 0,667

2016 1 2 0,500

137

14 MFIN 2012 1 2 0,500

2013 1 2 0,500

2014 1 2 0,500

2015 1 2 0,500

2016 1 2 0,500

15 WOMF 2012 2 5 0,400

2013 2 5 0,400

2014 2 5 0,400

2015 2 5 0,400

2016 2 5 0,400

16 ASJT 2012 2 3 0,667

2013 1 2 0,500

2014 2 3 0,667

2015 2 3 0,667

2016 2 3 0,667

Jumlah 211 390 43,932

Rata-Rata 209 5 0,549


138

Lampiran 6

Data Hasil Perhitungan Size (X3)

No Kode Tahun Total Aset

(Rp) Hasil

1 AGRO 2012 4.040.140.235.000 29,027

2013 5.124.070.015.000 29,265

2014 6.385.191.484.000 29,485

2015 8.364.502.563.000 29,755

2016 11.377.960.721.000 30,063

2 BBNI 2012 333.303.506.000.000 33,440

2013 386.654.815.000.000 33,589

2014 416.573.708.000.000 33,663

2015 508.595.288.000.000 33,863

2016 603.031.880.000.000 34,033

3 BBNP 2012 8.212.208.000.000 29,737

2013 9.985.736.000.000 29,932

2014 9.468.873.000.000 29,879

2015 8.613.114.000.000 29,784

2016 7.705.782.000.000 29,673

4 BBRI 2012 551.337.000.000.000 33,943

2013 626.183.000.000.000 34,071

2014 801.955.000.000.000 34,318

2015 845.998.379.000.000 34,372

2016 832.091.635.000.000 34,355

5 BDMN 2012 155.791.308.000.000 32,680

2013 184.237.348.000.000 32,847

2014 195.708.593.000.000 32,908

2015 188.057.412.000.000 32,868

2016 337.945.293.423.000 33,454

6 BMRI 2012 635.618.708.000.000 34,086

2013 733.099.762.000.000 34,228

2014 855.039.673.000.000 34,382

2015 910.063.409.000.000 34,445

Size = Ln Total Aset

139

2016 906.739.407.000.000 34,441

7 BSIM 2012 15.151.892.000.000 30,349

2013 17.447.455.000.000 30,490

2014 21.259.549.000.000 30,688

2015 27.868.688.000.000 30,959

2016 31.192.626.000.000 31,071

8 MCOR 2012 6.497.663.000.000 29,502

2013 7.917.214.000.000 29,700

2014 9.769.591.000.000 29,910

2015 10.089.121.000.000 29,942

2016 12.257.391.000.000 30,137

9 MEGA 2012 65.219.000.000.000 31,809

2013 66.396.000.000.000 31,827

2014 66.582.000.000.000 31,829

2015 68.225.000.000.000 31,854

2016 70.532.000.000.000 31,887

10 NISP 2012 79.141.737.000.000 32,002

2013 97.524.537.000.000 32,211

2014 103.111.114.000.000 32,267

2015 120.484.020.000.000 32,423

2016 138.196.341.000.000 32,560

11 SDRA 2012 7.621.310.000.000 29,662

2013 6.221.880.000.000 29,459

2014 16.432.776.000.000 30,430

2015 20.019.523.000.000 30,628

2016 22.630.634.000.000 30,750

12 ADMF 2012 25.460.457.000.000 30,868

2013 30.994.411.000.000 31,065

2014 29.930.882.000.000 31,030

2015 27.744.207.000.000 30,954

2016 27.665.045.000.000 30,951

13 BBLD 2012 3.495.189.946.326 28,882

2013 3.770.471.120.856 28,958

2014 3.586.853.995.174 28,908

2015 3.162.906.000.000 28,783

2016 3.629.038.000.000 28,920

14 MFIN 2012 4.062.766.000.000 29,033

2013 3.966.358.000.000 29,009

2014 4.805.590.000.000 29,201

140

2015 4.595.141.000.000 29,156

2016 3.562.235.000.000 28,901

15 WOMF 2012 3.348.221.000.000 28,839

2013 3.829.096.000.000 28,974

2014 5.299.931.000.000 29,299

2015 5.306.269.000.000 29,300

2016 6.670.916.000.000 29,529

16 ASJT 2012 189.137.638.693 22,001

2013 202.092.221.126 26,032

2014 315.392.000.000 26,477

2015 390.083.000.000 26,690

2016 427.049.000.000 26,780

Jumlah 12.401.501.502.363.200.000 2.465,481

Rata-Rata 155.018.768.779.540.000 30,819


141

Lampiran 7

Data Hasil Perhitungan Leverage (X4)

No Kode Tahun Total Hutang

(Rp)

Total Equitas

(Rp) Hasil

1 AGRO 2012 3.668.215.679.000 371.924.556.000 986,280

2013 4.287.163.502.000 836.906.513.000 512,263

2014 5.481.169.891.000 904.021.593.000 606,310

2015 7.012.090.138.000 1.352.412.425.000 518,488

2016 9.441.709.181.000 1.936.251.540.000 487,628

2 BBNI 2012 278.422.674.000.000 43.111.566.000.000 645,819

2013 323.681.435.000.000 47.034.723.000.000 688,175

2014 341.148.654.000.000 61.021.308.000.000 559,065

2015 412.727.677.000.000 78.438.222.000.000 526,182

2016 492.701.125.000.000 89.254.000.000.000 552,021

3 BBNP 2012 7.550.948.000.000 6.612.600.000.000 114,190

2013 8.933.338.000.000 1.052.398.000.000 848,855

2014 8.330.772.000.000 1.138.101.000.000 731,989

2015 7.417.621.000.000 1.195.493.000.000 620,465

2016 6.508.273.000.000 1.197.510.000.000 543,484

4 BBRI 2012 486.455.011.000.000 64.881.779.000.000 749,756

2013 546.855.504.000.000 79.327.422.000.000 689,365

2014 704.217.592.000.000 97.737.429.000.000 720,520

2015 733.606.581.000.000 112.391.798.000.000 652,723

2016 720.178.275.000.000 111.913.360.000.000 643,514

5 BDMN 2012 127.057.997.000.000 28.733.311.000.000 442,198

2013 152.684.365.000.000 31.552.983.000.000 483,898

2014 162.691.069.000.000 33.017.524.000.000 492,742

2015 153.842.563.000.000 34.214.849.000.000 449,637

2016 137.708.758.000.000 36.377.972.000.000 378,550

6 BMRI 2012 559.863.119.000.000 75.755.589.000.000 739,039

2013 644.309.166.000.000 88.790.596.000.000 725,650

2014 750.195.111.000.000 104.844.562.000.000 715,531

2015 790.571.568.000.000 119.491.841.000.000 661,611

2016 733.029.944.000.000 118.047.258.000.000 620,963

7 BSIM 2012 13.326.284.000.000 1.825.608.000.000 729,964

Leverage = 𝐓𝐨𝐭𝐚𝐥 𝐇𝐮𝐭𝐚𝐧𝐠

𝐓𝐨𝐭𝐚𝐥 𝐄𝐪𝐮𝐢𝐭𝐚𝐬

142

2013 14.693.195.000.000 2.753.444.000.000 533,630

2014 18.095.435.000.000 3.164.114.000.000 571,896

2015 24.199.077.000.000 3.669.611.000.000 659,445

2016 26.717.304.000.000 4.475.322.000.000 596,992

8 MCOR 2012 5.749.252.000.000 748.411.000.000 768,194

2013 6.882.201.000.000 1.035.013.000.000 664,939

2014 8.548.512.000.000 1.221.079.000.000 700,079

2015 8.675.389.000.000 1.413.732.000.000 613,652

2016 9.861.207.000.000 2.396.184.000.000 411,538

9 MEGA 2012 58.956.000.000.000 6.263.000.000.000 941,338

2013 60.214.000.000.000 6.183.000.000.000 973,864

2014 59.613.000.000.000 6.970.000.000.000 855,280

2015 56.708.000.000.000 11.517.000.000.000 492,385

2016 58.266.000.000.000 12.266.000.000.000 475,020

10 NISP 2012 70.190.261.000.000 8.951.476.000.000 784,119

2013 84.027.985.000.000 13.496.552.000.000 622,589

2014 88.167.748.000.000 14.943.366.000.000 590,013

2015 104.069.055.000.000 16.411.347.000.000 634,129

2016 118.689.765.000.000 19.506.576.000.000 608,460

11 SDRA 2012 7.083.420.000.000 537.910.000.000 1.316,841

2013 4.573.918.000.000 1.647.962.000.000 277,550

2014 12.528.511.000.000 3.904.265.000.000 320,893

2015 15.883.592.000.000 4.135.931.000.000 384,039

2016 18.218.744.000.000 4.411.890.000.000 412,946

12 ADMF 2012 20.424.690.000.000 5.035.767.000.000 405,592

2013 24.972.426.000.000 6.021.985.000.000 414,688

2014 25.897.207.000.000 4.033.675.000.000 642,025

2015 23.383.418.000.000 4.360.789.000.000 536,220

2016 22.687.846.000.000 4.977.199.000.000 455,836

13 BBLD 2012 2.480.452.067.414 1.014.737.878.912 244,443

2013 2.667.253.931.647 1.103.217.189.209 241,771

2014 2.482.260.769.005 1.104.593.226.169 224,722

2015 2.079.471.000.000 1.083.435.000.000 191,933

2016 2.528.134.000.000 1.100.904.000.000 229,642

14 MFIN 2012 3.174.288.000.000 888.478.000.000 357,273

2013 2.840.814.000.000 1.125.544.000.000 252,395

2014 3.404.391.000.000 1.401.199.000.000 242,963

2015 3.000.756.000.000 1.594.385.000.000 188,208

2016 1.748.809.000.000 1.813.426.000.000 96,437

143

15 WOMF 2012 2.903.939.000.000 444.282.000.000 653,625

2013 3.318.459.000.000 510.637.000.000 649,867

2014 4.752.955.000.000 546.976.000.000 868,951

2015 4.550.678.000.000 755.591.000.000 602,267

2016 5.855.617.000.000 815.299.000.000 718,217

16 ASJT 2012 102.216.779.659 86.920.859.034 117,598

2013 115.443.297.499 86.648.923.627 133,231

2014 162.581.000.000 152.811.000.000 106,394

2015 223.867.000.000 166.216.000.000 134,684

2016 243.519.000.000 183.530.000.000 132,686

Jumlah 10.440.518.835.236.200 1.666.792.749.703.950 42.888,369

Rata-Rata 130.506.485.440.453 20.834.909.371.299 536,105


144

Lampiran 8

Data Hasil Perhitungan Profitability (X5)

No Kode Tahun

EBIT

(Laba Operasional)

(Rp)

Total Aset

(Rp) Hasil

1 AGRO 2012 50.164.078.000 4.040.140.235.000 1,242

2013 66.567.569.000 5.126.260.097.000 1,299

2014 77.528.142.000 6.388.305.061.000 1,214

2015 95.694.134.000 8.364.502.563.000 1,144

2016 128.506.823.000 11.377.960.721.000 1,129

2 BBNI 2012 8.641.023.000.000 333.303.506.000.000 2,593

2013 11.218.803.000.000 386.654.815.000.000 2,902

2014 13.346.291.000.000 416.573.708.000.000 3,204

2015 11.412.081.000.000 508.595.288.000.000 2,244

2016 14.229.332.000.000 603.031.880.000.000 2,360

3 BBNP 2012 113.678.000.000 8.212.208.000.000 1,384

2013 135.819.000.000 9.985.736.000.000 1,360

2014 130.408.000.000 9.468.873.000.000 1,377

2015 87.009.000.000 8.613.114.000.000 1,010

2016 16.485.000.000 7.705.782.000.000 0,214

4 BBRI 2012 22.682.538.000.000 635.618.708.000.000 3,569

2013 23.551.711.000.000 606.370.242.000.000 3,884

2014 25.978.106.000.000 778.017.815.000.000 3,339

2015 26.338.972.000.000 845.998.379.000.000 3,113

2016 7.572.387.000.000 832.091.635.000.000 0,910

5 BDMN 2012 5.487.000.000.000 155.791.308.000.000 3,522

2013 5.530.213.000.000 184.237.348.000.000 3,002

2014 3.553.534.000.000 195.708.593.000.000 1,816

2015 3.281.000.000.000 188.057.412.000.000 1,745

2016 4.393.000.000.000 174.086.730.000.000 2,523

6 BMRI 2012 19.625.000.000.000 635.618.708.000.000 3,088

2013 23.551.710.000.000 733.099.762.000.000 3,213

2014 25.978.110.000.000 855.039.673.000.000 3,038

2015 26.338.970.000.000 910.063.409.000.000 2,894

2016 5.071.097.000.000 906.739.407.000.000 0,559

Profitability = 𝐄𝐁𝐈𝐓

𝐓𝐨𝐭𝐚𝐥 𝐀𝐬𝐞𝐭

145

7 BSIM 2012 285.479.000.000 15.151.892.000.000 1,884

2013 286.100.000.000 17.447.455.000.000 1,640

2014 200.895.000.000 21.259.549.000.000 0,945

2015 286.316.000.000 27.868.688.000.000 1,027

2016 493.630.000.000 31.192.626.000.000 1,583

8 MCOR 2012 128.530.000.000 6.497.663.000.000 1,978

2013 112.847.000.000 7.917.214.000.000 1,425

2014 64.779.000.000 9.769.591.000.000 0,663

2015 91.985.000.000 10.089.121.000.000 0,912

2016 75.896.000.000 12.257.391.000.000 0,619

9 MEGA 2012 1.538.519.000.000 65.219.000.000.000 2,359

2013 607.860.000.000 66.396.000.000.000 0,916

2014 645.380.000.000 66.582.000.000.000 0,969

2015 1.178.899.000.000 68.225.000.000.000 1,728

2016 1.470.563.000.000 70.532.000.000.000 2,085

10 NISP 2012 1.213.567.000.000 79.141.737.000.000 1,533

2013 1.543.840.000.000 97.524.537.000.000 1,583

2014 1.776.708.000.000 103.111.114.000.000 1,723

2015 2.000.887.000.000 120.484.020.000.000 1,661

2016 2.342.461.000.000 138.196.341.000.000 1,695

11 SDRA 2012 157.837.000.000 7.621.310.000.000 2,071

2013 272.623.000.000 6.221.880.000.000 4,382

2014 192.048.000.000 16.432.776.000.000 1,169

2015 365.455.000.000 20.019.523.000.000 1,825

2016 413.901.000.000 22.630.634.000.000 1,829

12 ADMF 2012 1.895.918.000.000 25.460.457.000.000 7,447

2013 2.282.202.000.000 30.994.411.000.000 7,363

2014 1.060.563.000.000 29.930.882.000.000 3,543

2015 900.555.000.000 27.744.207.000.000 3,246

2016 1.716.091.000.000 27.665.045.000.000 6,203

13 BBLD 2012 200.528.842.192 3.495.189.946.326 5,737

2013 181.164.283.903 3.770.471.120.856 4,805

2014 148.425.178.327 3.586.853.995.174 4,138

2015 82.655.000.000 3.162.906.000.000 2,613

2016 71.199.000.000 3.629.038.000.000 1,962

14 MFIN 2012 291.385.000.000 4.062.766.000.000 7,172

2013 345.956.000.000 3.966.358.000.000 8,722

2014 402.233.000.000 4.806.590.000.000 8,368

2015 329.437.000.000 4.595.141.000.000 7,169

146

2016 338.967.000.000 3.562.235.000.000 9,516

15 WOMF 2012 28.118.000.000 3.348.221.000.000 0,840

2013 89.263.000.000 3.829.096.000.000 2,331

2014 49.992.000.000 5.299.931.000.000 0,943

2015 23.787.000.000 5.306.269.000.000 0,448

2016 34.676.000.000 6.670.916.000.000 0,520

16 ASJT 2012 13.327.132.006 189.137.638.693 7,046

2013 1.421.829.396 202.092.221.126 0,704

2014 9.032.000.000 315.392.000.000 2,864

2015 15.250.000.000 390.083.000.000 3,909

2016 26.340.000.000 427.049.000.000 6,168

Jumlah 316.902.858.050.422 12.276.657.253.739.400 198,180

Rata-Rata 4.225.371.440.672 163.688.763.383.191 2,642


147

Lampiran 9

Data Hasil Perhitungan Agresivitas Pajak dengan Proksi CETR (Y)

No Kode Tahun Cash Tax Paid

(Rp)

Pretax Income

(Rp) CETR

1 AGRO 2012 2.906.062.000 3.668.215.679.000 0,001

2013 11.484.643.000 4.287.163.502.000 0,003

2014 33.942.646.000 5.481.169.891.000 0,006

2015 24.822.548.000 7.012.090.138.000 0,004

2016 38.234.596.000 9.441.709.181.000 0,004

2 BBNI 2012 1.528.370.000.000 278.422.674.000.000 0,005

2013 2.888.385.000.000 323.681.435.000.000 0,009

2014 3.180.729.000.000 341.148.654.000.000 0,009

2015 3.470.990.000.000 412.727.677.000.000 0,008

2016 3.583.629.000.000 492.701.125.000.000 0,007

3 BBNP 2012 29.723.970.000 115.153.801.000 0,258

2013 36.689.081.000 141.923.108.000 0,259

2014 33.916.088.000 130.448.583.000 0,260

2015 23.447.880.000 90.150.000.000 0,260

2016 3.964.164.000 12.073.000.000 0,328

4 BBRI 2012 5.172.192.000.000 23.859.572.000.000 0,217

2013 6.487.726.000.000 27.647.876.000.000 0,235

2014 6.572.954.000.000 30.770.208.000.000 0,214

2015 1.458.415.000.000 7.579.345.000.000 0,192

2016 1.477.972.000.000 7.595.245.000.000 0,195

5 BDMN 2012 1.370.000.000.000 127.057.997.000.000 0,011

2013 1.371.000.000.000 152.684.365.000.000 0,009

2014 870.000.000.000 162.691.069.000.000 0,005

2015 812.000.000.000 153.842.563.000.000 0,005

2016 1.600.000.000.000 137.708.758.000.000 0,012

6 BMRI 2012 4.461.000.000.000 20.504.268.000.000 0,218

2013 5.231.900.000.000 24.061.837.000.000 0,217

2014 5.323.530.000.000 26.008.020.000.000 0,205

2015 5.217.030.000.000 26.369.430.000.000 0,198

2016 1.039.501.000.000 5.066.256.000.000 0,205

CETR = 𝑪𝒂𝒔𝒉 𝑻𝒂𝒙 𝑷𝒂𝒊𝒅

𝑷𝒓𝒆𝒕𝒂𝒙 𝑰𝒏𝒄𝒐𝒎𝒆

148

7 BSIM 2012 44.264.000.000 13.326.284.000.000 0,003

2013 26.807.000.000 14.693.195.000.000 0,002

2014 45.963.000.000 18.095.435.000.000 0,003

2015 53.800.000.000 24.199.077.000.000 0,002

2016 122.979.000.000 26.717.304.000.000 0,005

8 MCOR 2012 33.937.000.000 5.749.252.000.000 0,006

2013 39.638.000.000 6.882.201.000.000 0,006

2014 25.187.000.000 8.548.512.000.000 0,003

2015 19.804.000.000 8.675.389.000.000 0,002

2016 38.437.000.000 9.861.207.000.000 0,004

9 MEGA 2012 188.602.000.000 1.566.014.000.000 0,120

2013 107.770.000.000 632.550.000.000 0,170

2014 98.743.000.000 697.981.000.000 0,141

2015 387.423.000.000 1.238.769.000.000 0,313

2016 185.998.000.000 1.545.423.000.000 0,120

10 NISP 2012 306.785.000.000 70.190.261.000.000 0,004

2013 386.995.000.000 84.027.985.000.000 0,005

2014 444.530.000.000 88.167.748.000.000 0,005

2015 500.626.000.000 104.069.055.000.000 0,005

2016 561.202.000.000 118.689.765.000.000 0,005

11 SDRA 2012 41.524.000.000 160.367.000.000 0,259

2013 44.430.000.000 168.095.000.000 0,264

2014 87.864.000.000 362.094.000.000 0,243

2015 96.864.000.000 365.455.000.000 0,265

2016 109.673.000.000 419.489.000.000 0261

12 ADMF 2012 477.280.000.000 1.895.918.000.000 0,252

2013 574.997.000.000 2.282.202.000.000 0,252

2014 268.398.000.000 1.060.563.000.000 0,253

2015 235.719.000.000 900.555.000.000 0,262

2016 706.740.000.000 1.716.091.000.000 0,412

13 BBLD 2012 50.392.845.734 200.528.842.192 0,251

2013 45.491.713.563 181.164.283.903 0,251

2014 37.570.245.000 148.425.178.327 0,253

2015 20.681.000.000 82.655.000.000 0,250

2016 17.778.000.000 71.199.000.000 0,250

14 MFIN 2012 81.341.000.000 3.174.288.000.000 0,026

2013 84.634.000.000 2.840.814.000.000 0,030

2014 88.630.000.000 3.404.391.000.000 0,026

2015 98.645.000.000 3.000.756.000.000 0,033

149

2016 88.011.000.000 1.748.809.000.000 0,050

15 WOMF 2012 20.490.000.000 28.118.000.000 0,729

2013 22.908.000.000 89.263.000.000 0,257

2014 13.653.000.000 49.992.000.000 0,273

2015 5.038.000.000 23.787.000.000 0,212

2016 4.319.000.000 34.676.000.000 0,125

16 ASJT 2012 3.910.404.145 15.496.063.218 0,252

2013 1.977.534.510 5.874.735.377 0,337

2014 438.000.000 18.087.000.000 0,024

2015 4.273.000.000 22.086.000.000 0,193

2016 4.542.000.000 28.243.000.000 0,161

Jumlah 70.314.157.420.952 3.444.581.359.986.020 11,188

Rata-Rata 878.926.967.762 43.057.266.999.825 0,140


150

Lampiran 10

Rekapitulasi Hasil Perhitungan Semua Variabel

No Kode Tahun X1 X2 X3 X4 X5 Y

1 AGRO 2012 0,798 0,500 29,027 986,280 1,242 0,001

2013 0,804 0,600 29,265 512,263 1,299 0,003

2014 0,804 0,600 29,485 606,310 1,214 0,006

2015 0,872 0,500 29,755 518,488 1,144 0,004

2016 0,872 0,500 30,063 487,628 1,129 0,004

2 BBNI 2012 0,588 0,500 33,440 645,819 2,593 0,005

2013 0,588 0,571 33,589 688,175 2,902 0,009

2014 0,588 0,500 33,663 559,065 3,204 0,009

2015 0,600 0,625 33,863 526,182 2,244 0,008

2016 0,600 0,500 34,033 552,021 2,360 0,007

3 BBNP 2012 0,662 0,500 29,737 114,190 1,384 0,258

2013 0,662 0,500 29,932 848,855 1,360 0,259

2014 0,662 0,500 29,879 731,989 1,377 0,260

2015 0,662 0,500 29,784 620,465 1,010 0,260

2016 0,662 0,500 29,673 543,484 0,214 0,328

4 BBRI 2012 0,568 0,600 33,943 749,756 3,569 0,217

2013 0,568 0,600 34,071 689,365 3,884 0,235

2014 0,568 0,714 34,318 720,520 3,339 0,214

2015 0,568 0,625 34,372 652,723 3,113 0,192

2016 0,578 0,556 34,355 643,514 0,910 0,195

5 BDMN 2012 0,674 0,500 32,680 442,198 3,522 0,011

2013 0,674 0,500 32,847 483,898 3,002 0,009

2014 0,674 0,500 32,908 492,742 1,816 0,005

2015 0,674 0,571 32,868 449,637 1,745 0,005

2016 0,674 0,571 33,454 378,550 2,523 0,012

6 BMRI 2012 0,600 0,571 34,086 739,039 3,088 0,218

2013 0,600 0,571 34,228 725,650 3,213 0,217

2014 0,600 0,571 34,382 715,531 3,038 0,205

2015 0,600 0,500 34,445 661,611 2,894 0,198

2016 0,600 0,500 34,441 620,963 0,559 0,205

7 BSIM 2012 0,565 0,667 30,349 729,964 1,884 0,003

2013 0,572 0,667 30,490 533,630 1,640 0,002

2014 0,534 0,667 30,688 571,896 0,945 0,003

2015 0,530 0,667 30,959 659,445 1,027 0,002

151

2016 0,561 0,667 31,071 596,992 1,583 0,005

8 MCOR 2012 0,668 0,500 29,502 768,194 1,978 0,006

2013 0,667 0,667 29,700 664,939 1,425 0,006

2014 0,667 0,667 29,910 700,079 0,663 0,003

2015 0,586 0,667 29,942 613,652 0,912 0,002

2016 0,600 0,667 30,137 411,538 0,619 0,004

9 MEGA 2012 0,578 0,667 31,809 941,338 2,359 0,120

2013 0,578 0,667 31,827 973,864 0,916 0,170

2014 0,578 0,500 31,829 855,280 0,969 0,141

2015 0,578 0,500 31,854 492,385 1,728 0,313

2016 0,578 0,500 31,887 475,020 2,085 0,120

10 NISP 2012 0,862 0,500 32,002 784,119 1,533 0,004

2013 0,851 0,500 32,211 622,589 1,583 0,005

2014 0,851 0,500 32,267 590,013 1,723 0,005

2015 0,851 0,500 32,423 634,129 1,661 0,005

2016 0,851 0,500 32,560 608,460 1,695 0,005

11 SDRA 2012 0,529 0,667 29,662 1,316,841 2,071 0,259

2013 0,529 0,667 29,459 277,550 4,382 0,264

2014 0,740 0,750 30,430 320,893 1,169 0,243

2015 0,740 0,750 30,628 384,039 1,825 0,265

2016 0,740 0,750 30,750 412,946 1,829 0,261

12 ADMF 2012 0,950 0,500 30,868 405,592 7,447 0,252

2013 0,950 0,500 31,065 414,688 7,363 0,252

2014 0,950 0,500 31,030 642,025 3,543 0,253

2015 0,950 0,500 30,954 536,220 3,246 0,262

2016 0,950 0,333 30,951 455,836 6,203 0,412

13 BBLD 2012 0,676 0,333 28,882 244,443 5,737 0,251

2013 0,676 0,333 28,958 241,771 4,805 0,251

2014 0,676 0,333 28,908 224,722 4,138 0,253

2015 0,676 0,667 28,783 191,933 2,613 0,250

2016 0,676 0,500 28,920 229,642 1,962 0,250

14 MFIN 2012 0,704 0,500 29,033 357,273 7,172 0,026

2013 0,704 0,500 29,009 252,395 8,722 0,030

2014 0,704 0,500 29,201 242,963 8,368 0,026

2015 0,704 0,500 29,156 188,208 7,169 0,033

2016 0,704 0,500 28,901 96,437 9,516 0,050

15 WOMF 2012 0,620 0,400 28,839 653,625 0,840 0,729

2013 0,620 0,400 28,974 649,867 2,331 0,257

2014 0,500 0,400 29,299 868,951 0,943 0,273

152

2015 0,700 0,400 29,300 602,267 0,448 0,212

2016 0,700 0,400 29,529 718,217 0,520 0,125

16 ASJT 2012 0,981 0,667 25,966 117,598 7,046 0,252

2013 0,981 0,500 26,032 133,231 0,704 0,337

2014 0,964 0,667 26,477 106,394 2,864 0,024

2015 0,903 0,667 26,690 134,684 3,909 0,193

2016 0,876 0,667 26,780 132,686 6,168 0,161

Jumlah 50,815 40,765 2,337,491 42,263,777 198,180 10,220

Rata-Rata 0,678 0,544 31,167 563,517 2,642 0,136


153

Lampiran 11

Hasil Uji Statistik Deskriptif

COMPUTE ln_X1=LN(X1).

EXECUTE.


EXECUTE.


EXECUTE.


EXECUTE.

COMPUTE ln_Y=LN(Y).

EXECUTE.

DESCRIPTIVES VARIABLES=ln_X1 ln_X2 X3 ln_X4 ln_X5 ln_Y

/STATISTICS=MEAN STDDEV MIN MAX.

Descriptives

Notes

Output Created 14-AUG-2018 13:07:50 Comments

Input

Active Dataset DataSet0 Filter <none> Weight <none> Split File <none> N of Rows in Working Data File

80

Missing Value Handling Definition of Missing

User defined missing values are treated as missing.

Cases Used All non-missing data are used.

Syntax

DESCRIPTIVES VARIABLES=ln_X1 ln_X2 X3 ln_X4 ln_X5 ln_Y /STATISTICS=MEAN STDDEV MIN MAX.

Resources Processor Time 00:00:00.03

Elapsed Time 00:00:00.03

[DataSet0]

Descriptive Statistics

N Minimum Maximum Mean Std. Deviation

ln_X1 80 -.69 -.02 -.3816 .17961 ln_X2 80 -1.10 -.29 -.6169 .19192 Size 80 25.966 34.445 30.86796 2.164484 ln_X4 80 -.04 2.58 1.5460 .57917 ln_X5 80 -6.21 -2.35 -3.8836 .77614 ln_Y 80 -6.91 -.32 -3.0784 1.91648

Valid N (listwise) 80

Lampiran 12

Hasil Uji Normalitas

154

NPAR TESTS

/K-S(NORMAL)=RES_1

/MISSING ANALYSIS.

NPar Tests

Notes


Input

Active Dataset DataSet0 Filter <none> Weight <none> Split File <none> N of Rows in Working Data File 80

Missing Value Handling

Definition of Missing User-defined missing values are treated as missing.

Cases Used Statistics for each test are based on all cases with valid data for the variable(s) used in that test.

Syntax NPAR TESTS /K-S(NORMAL)=RES_1 /MISSING ANALYSIS.

Resources

Processor Time 00:00:00.03


Number of Cases Alloweda 196608

a. Based on availability of workspace memory.

[DataSet0]

One-Sample Kolmogorov-Smirnov Test

Unstandardized Residual

N 80

Normal Parametersa,b Mean 0E-7 Std. Deviation 1.80501386

Most Extreme Differences Absolute .195 Positive .195 Negative -.178

Kolmogorov-Smirnov Z 1.747 Asymp. Sig. (2-tailed) .004

a. Test distribution is Normal. b. Calculated from data.

EXAMINE VARIABLES=ln_Y

/PLOT NONE

/MESTIMATORS HUBER(1.339) ANDREW(1.34) HAMPEL(1.7,3.4,8.5) TUKEY(4.685)

/PERCENTILES(5,10,25,50,75,90,95) HAVERAGE

/STATISTICS DESCRIPTIVES EXTREME

/CINTERVAL 95

/MISSING LISTWISE

/NOTOTAL.

Explore Notes


Input


80


Definition of Missing User-defined missing values for dependent variables are treated as missing.

155

Cases Used Statistics are based on cases with no missing values for any dependent variable or factor used.

Syntax

EXAMINE VARIABLES=ln_Y /PLOT NONE /MESTIMATORS HUBER(1.339) ANDREW(1.34) HAMPEL(1.7,3.4,8.5) TUKEY(4.685) /PERCENTILES(5,10,25,50,75,90,95) HAVERAGE /STATISTICS DESCRIPTIVES EXTREME /CINTERVAL 95 /MISSING LISTWISE /NOTOTAL.



[DataSet0]

Case Processing Summary

Cases

Valid Missing Total

N Percent N Percent N Percent

ln_Y 80 100.0% 0 0.0% 80 100.0%

Descriptives

Statistic Std. Error

ln_Y

Mean -3.0784 .21427

95% Confidence Interval for Mean

Lower Bound -3.5049

Upper Bound -2.6519

5% Trimmed Mean -3.0183

Median -1.8927

Variance 3.673

Std. Deviation 1.91648

Minimum -6.91

Maximum -.32

Range 6.59

Interquartile Range 3.87 Skewness -.410 .269

Kurtosis -1.550 .532

M-Estimators

Huber's M-Estimatora

Tukey's Biweightb Hampel's M-Estimatorc

Andrews' Waved

ln_Y -2.3119 -1.6226 -2.3830 -1.6101

a. The weighting constant is 1.339. b. The weighting constant is 4.685. c. The weighting constants are 1.700, 3.400, and 8.500 d. The weighting constant is 1.340*pi.

Percentiles

Percentiles

5 10 25 50 75 90 95

Weighted Average(Definition 1)

ln_Y -6.1943 -5.7804 -5.2527 -1.8927 -1.3783 -1.3326 -1.1171

Tukey's Hinges ln_Y -5.2072 -1.8927 -1.3783

156

Extreme Values

Case Number Value

ln_Y

Highest

1 71 -.32

2 60 -.89

3 77 -1.09

4 15 -1.11

5 44 -1.16

Lowest

1 1 -6.91

2 39 -6.21

3 34 -6.21

4 32 -6.21

5 38 -5.81a

a. Only a partial list of cases with the value -5.81 are shown in the table of lower extremes.

REGRESSION

/MISSING LISTWISE

/STATISTICS COEFF OUTS R ANOVA

/CRITERIA=PIN(.05) POUT(.10)

/NOORIGIN

/DEPENDENT ln_Y

/METHOD=ENTER ln_X1 ln_X2 X3 ln_X4 ln_X5

/SAVE RESID.

Regression Notes


Input


70

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 /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT ln_Y /METHOD=ENTER ln_X1 ln_X2 X3 ln_X4 ln_X5 /SAVE RESID.

Resources Processor Time 00:00:00.08 Elapsed Time 00:00:00.05 Memory Required 2804 bytes

157

Additional Memory Required for Residual Plots

0 bytes

Variables Created or Modified

RES_2 Unstandardized Residual

[DataSet0]

Variables Entered/Removeda

Model Variables Entered Variables Removed

Method

1 ln_X5, ln_X2, Size, ln_X1, ln_X4b

. Enter

a. Dependent Variable: ln_Y b. All requested variables entered.

Model Summaryb

Model R R Square Adjusted R Square

Std. Error of the Estimate

1 .313a .098 .028 1.73748

a. Predictors: (Constant), ln_X5, ln_X2, Size, ln_X1, ln_X4 b. Dependent Variable: ln_Y

ANOVAa

Model Sum of Squares df Mean Square F Sig.

1

Regression 21.022 5 4.204 1.393 .239b

Residual 193.205 64 3.019

Total 214.227 69 a. Dependent Variable: ln_Y b. Predictors: (Constant), ln_X5, ln_X2, Size, ln_X1, ln_X4

Coefficientsa

Model Unstandardized Coefficients Standardized Coefficients

t Sig.

B Std. Error Beta

1

(Constant) 2.522 3.992 .632 .530

ln_X1 -2.449 1.353 -.244 -1.810 .075

ln_X2 -.696 1.134 -.073 -.614 .541

Size -.161 .127 -.201 -1.262 .211

ln_X4 -.052 .532 -.018 -.099 .922

ln_X5 .480 .346 .195 1.384 .171

a. Dependent Variable: ln_Y

Residuals Statisticsa

Minimum Maximum Mean Std. Deviation N

Predicted Value -3.9022 -1.8207 -3.0050 .55196 70 Residual -3.12386 2.24976 .00000 1.67334 70 Std. Predicted Value -1.625 2.146 .000 1.000 70 Std. Residual -1.798 1.295 .000 .963 70


NPAR TESTS

/K-S(NORMAL)=RES_2

/MISSING ANALYSIS.

NPar Tests

Notes


158

Input

Active Dataset DataSet0 Filter <none> Weight <none> Split File <none> N of Rows in Working Data File 70





Resources



Number of Cases Alloweda 196608


[DataSet0]



N 70





EXAMINE VARIABLES=ln_Y ln_X4

/PLOT BOXPLOT STEMLEAF

/COMPARE GROUPS




/CINTERVAL 95

/MISSING LISTWISE

/NOTOTAL.

Explore

Notes


Input


70

Missing Value Handling Definition of Missing User-defined missing values for dependent variables are treated as missing.

159


Syntax

EXAMINE VARIABLES=ln_Y ln_X4 /PLOT BOXPLOT STEMLEAF /COMPARE GROUPS /MESTIMATORS HUBER(1.339) ANDREW(1.34) HAMPEL(1.7,3.4,8.5) TUKEY(4.685) /PERCENTILES(5,10,25,50,75,90,95) HAVERAGE /STATISTICS DESCRIPTIVES EXTREME /CINTERVAL 95 /MISSING LISTWISE /NOTOTAL.



[DataSet0]


Cases

Valid Missing Total


ln_Y 70 100.0% 0 0.0% 70 100.0% ln_X4 70 100.0% 0 0.0% 70 100.0%

Descriptives


ln_Y

Mean -3.0050 .21060


Lower Bound -3.4251

Upper Bound -2.5848


Median -1.8927

Variance 3.105


Minimum -5.81

Maximum -1.30

Range 4.51



ln_X4

Mean 1.5301 .07026


Lower Bound 1.3899

Upper Bound 1.6702

5% Trimmed Mean 1.5665

Median 1.7325

Variance .346

Std. Deviation .58786

Minimum -.04

Maximum 2.58

Range 2.61

160

Interquartile Range .61 Skewness -1.111 .287

Kurtosis .587 .566

M-Estimators



Andrews' Waved

ln_Y -2.1111 -1.5760 -1.9732 -1.5738 ln_X4 1.6797 1.7595 1.6933 1.7606


Percentiles

Percentiles

5 10 25 50 75 90 95


ln_Y -5.6509 -5.4991 -5.1160 -1.8927 -1.3823 -1.3475 -1.3360

ln_X4 .1489 .6343 1.3166 1.7325 1.9293 2.0573 2.1981


ln_X4 1.3310 1.7325 1.9289

Extreme Values

Case Number Value

ln_Y

Highest

1 64 -1.30

2 47 -1.33

3 45 -1.33

4 52 -1.34

5 48 -1.34

Lowest

1 30 -5.81

2 29 -5.81

3 1 -5.81

4 39 -5.52

5 34 -5.52a

ln_X4

Highest

1 44 2.58

2 36 2.28

3 35 2.24

4 64 2.16

5 37 2.15

Lowest

1 62 -.04

2 68 .06

3 10 .13

4 67 .16

5 70 .28

a. Only a partial list of cases with the value -5.52 are shown in the table of lower extremes.

161

ln_Y

ln_Y Stem-and-Leaf Plot

Frequency Stem & Leaf

7.00 -5 . 5555888

11.00 -5 . 11122222222

6.00 -4 . 577789

1.00 -4 . 4

4.00 -3 . 5667

1.00 -3 . 4

1.00 -2 . 9

3.00 -2 . 011

14.00 -1 . 55555556666789

22.00 -1 . 2333333333333333333344

Stem width: 1.00

Each leaf: 1 case(s)

ln_X4

ln_X4 Stem-and-Leaf Plot


6.00 Extremes (=<.3)

8.00 0 . 66888889

10.00 1 . 0123344444

36.00 1 . 555556666777777888888888888899999999

9.00 2 . 000011122

1.00 2 . 5

Stem width: 1.00


162

REGRESSION

/MISSING LISTWISE



/NOORIGIN

/DEPENDENT ln_Y


/SAVE RESID.

Regression

Notes


Input

Active Dataset DataSet0 Filter <none> Weight <none> Split File <none>

163

N of Rows in Working Data File

51




Syntax


Resources

Processor Time 00:00:00.03 Elapsed Time 00:00:00.04 Memory Required 2828 bytes Additional Memory Required for Residual Plots

0 bytes

Variables Created or Modified

RES_3 Unstandardized Residual

[DataSet0]



Method

1 ln_X5, ln_X1, ln_X2, Size, ln_X4b

. Enter


Model Summaryb



1 .330a .109 .010 1.72463

a. Predictors: (Constant), ln_X5, ln_X1, ln_X2, Size, ln_X4 b. Dependent Variable: ln_Y

ANOVAa

Model Sum of Squares

df Mean Square F Sig.

1

Regression 16.409 5 3.282 1.103 .372b

Residual 133.846 45 2.974

Total 150.255 50 a. Dependent Variable: ln_Y b. Predictors: (Constant), ln_X5, ln_X1, ln_X2, Size, ln_X4

Coefficientsa

Model Unstandardized Coefficients

Standardized Coefficients

t Sig.

164

B Std. Error Beta

1

(Constant) 1.936 5.250 .369 .714

ln_X1 -3.370 1.800 -.299 -1.872 .068

ln_X2 -.883 1.491 -.089 -.592 .557

Size -.180 .165 -.226 -1.091 .281

ln_X4 -.071 .814 -.018 -.087 .931

ln_X5 .291 .417 .118 .699 .488






NPAR TESTS

/K-S(NORMAL)=RES_3

/MISSING ANALYSIS.

NPar Tests

Notes


Input


51







165

Number of Cases Alloweda

196608


[DataSet0]



N 51





EXAMINE VARIABLES=ln_Y ln_X4

/PLOT BOXPLOT STEMLEAF

/COMPARE GROUPS




/CINTERVAL 95

/MISSING LISTWISE

/NOTOTAL.

Explore

Notes


Input


51


Definition of Missing User-defined missing values for dependent variables are treated as missing.


166

Syntax

EXAMINE VARIABLES=ln_Y ln_X4 /PLOT BOXPLOT STEMLEAF /COMPARE GROUPS /MESTIMATORS HUBER(1.339) ANDREW(1.34) HAMPEL(1.7,3.4,8.5) TUKEY(4.685) /PERCENTILES(5,10,25,50,75,90,95) HAVERAGE /STATISTICS DESCRIPTIVES EXTREME /CINTERVAL 95 /MISSING LISTWISE /NOTOTAL.



[DataSet0]


Cases

Valid Missing Total


ln_Y 51 100.0% 0 0.0% 51 100.0% ln_X4 51 100.0% 0 0.0% 51 100.0%

Descriptives


ln_Y

Mean -3.0735 .24274


Lower Bound -3.5611

Upper Bound -2.5859


Median -2.0794

Variance 3.005


Minimum -5.52

Maximum -1.35

Range 4.17



ln_X4

Mean 1.5842 .06224


Lower Bound 1.4592

Upper Bound 1.7092

167

5% Trimmed Mean 1.6170

Median 1.7867

Variance .198

Std. Deviation .44448

Minimum .30

Maximum 2.14

Range 1.84

Interquartile Range .49 Skewness -1.194 .333

Kurtosis .486 .656

M-Estimators



Andrews' Waved

ln_Y -2.4041 -1.7036 -2.5433 -1.6821 ln_X4 1.7161 1.7874 1.7220 1.7875


Percentiles

Percentiles

5 10 25 50 75 90 95


ln_Y -5.3876 -5.2983 -5.1160 -2.0794 -1.4147 -1.3744 -1.3494

ln_X4 .6440 .8415 1.4002 1.7867 1.8895 1.9889 2.0243


ln_X4 1.4113 1.7867 1.8827

Extreme Values

Case Number Value

ln_Y

Highest

1 10 -1.35

2 11 -1.35

3 9 -1.35

4 48 -1.36

5 38 -1.37a

Lowest

1 3 -5.52

2 2 -5.52

3 34 -5.30

4 33 -5.30

5 32 -5.30b

ln_X4 Highest

1 9 2.14

2 28 2.04

3 12 2.01

4 22 2.00

5 10 1.99

Lowest 1 51 .30

168

2 47 .63

3 42 .65

4 41 .81

5 43 .83

a. Only a partial list of cases with the value -1.37 are shown in the table of upper extremes. b. Only a partial list of cases with the value -5.30 are shown in the table of lower extremes.

ln_Y

ln_Y Stem-and-Leaf Plot


2.00 -5 . 55

11.00 -5 . 11122222222

6.00 -4 . 577789

1.00 -4 . 4

3.00 -3 . 566

1.00 -3 . 4

.00 -2 .

2.00 -2 . 01

11.00 -1 . 55555556666

14.00 -1 . 33333333333344

Stem width: 1.00


169

ln_X4

ln_X4 Stem-and-Leaf Plot


3.00 Extremes (=<.7)

6.00 0 . 888889

6.00 1 . 123444

32.00 1 . 55555667777788888888888889999999

4.00 2 . 0001

Stem width: 1.00


REGRESSION

/MISSING LISTWISE



/NOORIGIN

/DEPENDENT ln_Y


/SAVE RESID.

170

Regression

Notes


Input


33




Syntax


Resources

Processor Time 00:00:00.06 Elapsed Time 00:00:00.04 Memory Required 2844 bytes Additional Memory Required for Residual Plots

0 bytes

Variables Created or Modified RES_4 Unstandardized Residual

[DataSet0]



Method

1 ln_X5, ln_X2, ln_X1, Size, ln_X4b

. Enter


Model Summaryb



171

1 .222a .049 -.127 1.76447

a. Predictors: (Constant), ln_X5, ln_X2, ln_X1, Size, ln_X4 b. Dependent Variable: ln_Y

ANOVAa


1

Regression 4.361 5 .872 .280 .920b

Residual 84.060 27 3.113

Total 88.422 32 a. Dependent Variable: ln_Y b. Predictors: (Constant), ln_X5, ln_X2, ln_X1, Size, ln_X4

Coefficientsa

Model Unstandardized Coefficients Standardized Coefficients

t Sig.

B Std. Error Beta

1

(Constant) -6.091 6.928 -.879 .387

ln_X1 -.003 2.733 .000 -.001 .999

ln_X2 -2.159 1.925 -.237 -1.122 .272

Size .055 .231 .069 .239 .813

ln_X4 .065 1.475 .014 .044 .965

ln_X5 .102 .510 .048 .201 .842






NPAR TESTS

/K-S(NORMAL)=RES_4

/MISSING ANALYSIS.

NPar Tests

172

Notes


Input


33





Resources



Number of Cases Alloweda

196608


[DataSet0]



N 33





Lampiran 13

Hasil Uji Heterokedastisitas

COMPUTE Residual=lag_Y14-(4.099+(5.467*ln_X1)+(0.626*ln_X2)+(0.034*X3)-(1.504*ln_X4)-

(1.149*ln_X5)).

173

EXECUTE.

NONPAR CORR

/VARIABLES=ln_X1 ln_X2 X3 ln_X4 ln_X5 Residual

/PRINT=SPEARMAN TWOTAIL NOSIG

/MISSING=PAIRWISE.

Nonparametric Correlations

Notes

Output Created 14-AUG-2018 14:10:45

Comments

Input

Active Dataset DataSet0

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data File 33


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=ln_X1 ln_X2 X3

ln_X4 ln_X5 Residual

/PRINT=SPEARMAN

TWOTAIL NOSIG

/MISSING=PAIRWISE.

Resources



Number of Cases Allowed 92521 casesa

a. Based on availability of workspace memory

[DataSet0]

Correlations

ln_X1 ln_X2 Size ln_X4 ln_X5 Residual

S

p

e

a

r

m

a

n'

ln_X1

Correlation

Coefficient 1.000 -.408* -.688** -.558** .135 .093

Sig. (2-tailed) . .019 .000 .001 .455 .715

N 33 33 33 33 33 18

ln_X2

Correlation

Coefficient -.408* 1.000 .398* .373* -.192 -.054

Sig. (2-tailed) .019 . .022 .033 .283 .831

N 33 33 33 33 33 18

174

s

r

h

o

Size

Correlation

Coefficient -.688** .398* 1.000 .633** -.165 .123

Sig. (2-tailed) .000 .022 . .000 .358 .627

N 33 33 33 33 33 18

ln_X4

Correlation

Coefficient -.558** .373* .633** 1.000 -.372* .133

Sig. (2-tailed) .001 .033 .000 . .033 .598

N 33 33 33 33 33 18

ln_X5

Correlation

Coefficient .135 -.192 -.165 -.372* 1.000 -.048

Sig. (2-tailed) .455 .283 .358 .033 . .851

N 33 33 33 33 33 18

Residu

al

Correlation

Coefficient .093 -.054 .123 .133 -.048 1.000

Sig. (2-tailed) .715 .831 .627 .598 .851 .

N 18 18 18 18 18 18

*. Correlation is significant at the 0.05 level (2-tailed).

**. Correlation is significant at the 0.01 level (2-tailed).

Lampiran 14

Hasil Uji Multikolinieritas

REGRESSION

/MISSING LISTWISE

/STATISTICS COEFF OUTS BCOV R ANOVA COLLIN TOL


/NOORIGIN

/DEPENDENT lag_Y14


/SAVE RESID.

Regression

Notes


175

Comments

Input


Filter <none>

Weight <none>

Split File <none>

N of Rows in Working

Data File 33



treated as missing.

Cases Used

Statistics are based on cases with

no missing values for any variable

used.

Syntax

REGRESSION

/MISSING LISTWISE

/STATISTICS COEFF OUTS

BCOV R ANOVA COLLIN TOL


/NOORIGIN

/DEPENDENT lag_Y14

/METHOD=ENTER ln_X1 ln_X2

X3 ln_X4 ln_X5

/SAVE RESID.

Resources



Memory Required 3484 bytes

Additional Memory

Required for Residual

Plots

0 bytes


[DataSet0]


Model Variables Entered Variables

Removed

Method

1

ln_X5, ln_X2,

ln_X1, Size,

ln_X4b

. Enter

a. Dependent Variable: lag_Y14

b. All requested variables entered.

Model Summaryb

176

Model R R Square Adjusted R

Square

Std. Error of the

Estimate

1 .631a .398 .148 1.55648

a. Predictors: (Constant), ln_X5, ln_X2, ln_X1, Size, ln_X4

b. Dependent Variable: lag_Y14

ANOVAa


1

Regression 19.255 5 3.851 1.590 .236b

Residual 29.072 12 2.423

Total 48.327 17


b. Predictors: (Constant), ln_X5, ln_X2, ln_X1, Size, ln_X4

Coefficientsa

Model Unstandardized

Coefficients

Standardized

Coefficients

t Sig. Collinearity Statistics

B Std. Error Beta Tolerance VIF

1

(Constant) -4.099 7.860 -.521 .612

ln_X1 5.467 2.702 .503 2.023 .066 .810 1.234

ln_X2 .626 1.891 .080 .331 .746 .851 1.175

Size .034 .273 .042 .123 .904 .434 2.303

ln_X4 -1.504 1.688 -.374 -.891 .390 .284 3.519

ln_X5 -1.149 .557 -.681 -2.062 .062 .460 2.175


Coefficient Correlationsa

Model ln_X5 ln_X2 ln_X1 Size ln_X4

1 Correlations

ln_X5 1.000 -.094 -.271 -.420 .698

ln_X2 -.094 1.000 .012 -.126 -.170

ln_X1 -.271 .012 1.000 .300 -.127

Size -.420 -.126 .300 1.000 -.666

ln_X4 .698 -.170 -.127 -.666 1.000

Covariances ln_X5 .310 -.099 -.409 -.064 .656

177

ln_X2 -.099 3.576 .060 -.065 -.544

ln_X1 -.409 .060 7.303 .221 -.580

Size -.064 -.065 .221 .075 -.307

ln_X4 .656 -.544 -.580 -.307 2.848


Collinearity Diagnosticsa

Mo

del

Dimension Eigenvalue Condition

Index

Variance Proportions

(Constant) ln_X1 ln_X2 Size ln_X4 ln_X5

1

1 5.719 1.000 .00 .00 .00 .00 .00 .00

2 .136 6.478 .00 .31 .27 .00 .01 .00

3 .090 7.960 .00 .59 .11 .00 .05 .05

4 .035 12.722 .01 .01 .19 .01 .00 .40

5 .018 17.865 .02 .01 .39 .00 .53 .34

6 .001 75.697 .97 .07 .05 .98 .40 .21




Predicted Value -5.1222 -1.5786 -3.6040 1.06426 18

Residual -1.66940 2.91850 .00000 1.30770 18

Std. Predicted Value -1.426 1.903 .000 1.000 18

Std. Residual -1.073 1.875 .000 .840 18


178

Lampiran 16

Hasil Uji Regresi Linier Berganda

REGRESSION

/MISSING LISTWISE



/NOORIGIN

/DEPENDENT lag_Y14


/SAVE RESID.

Regression

Notes


Comments

Input


Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data File 33



treated as missing.

Cases Used

Statistics are based on cases

with no missing values for any

variable used.

179

Syntax

REGRESSION

/MISSING LISTWISE

/STATISTICS COEFF OUTS R

ANOVA

/CRITERIA=PIN(.05)

POUT(.10)

/NOORIGIN

/DEPENDENT lag_Y14

/METHOD=ENTER ln_X1

ln_X2 X3 ln_X4 ln_X5

/SAVE RESID.

Resources



Memory Required 3524 bytes

Additional Memory Required for

Residual Plots 0 bytes


[DataSet0]


Model Variables Entered Variables

Removed

Method

1

ln_X5, ln_X2,

ln_X1, Size,

ln_X4b

. Enter


b. All requested variables entered.

Model Summaryb

Model R R Square Adjusted R

Square

Std. Error of the

Estimate

1 .631a .398 .148 1.55648

a. Predictors: (Constant), ln_X5, ln_X2, ln_X1, Size, ln_X4

b. Dependent Variable: lag_Y14

ANOVAa

180


1

Regression 19.255 5 3.851 1.590 .236b

Residual 29.072 12 2.423

Total 48.327 17


b. Predictors: (Constant), ln_X5, ln_X2, ln_X1, Size, ln_X4

Coefficientsa

Model Unstandardized Coefficients Standardized

Coefficients

t Sig.

B Std. Error Beta

1

(Constant) -4.099 7.860 -.521 .612

ln_X1 5.467 2.702 .503 2.023 .066

ln_X2 .626 1.891 .080 .331 .746

Size .034 .273 .042 .123 .904

ln_X4 -1.504 1.688 -.374 -.891 .390

ln_X5 -1.149 .557 -.681 -2.062 .062




Predicted Value -5.1222 -1.5786 -3.6040 1.06426 18

Residual -1.66940 2.91850 .00000 1.30770 18

Std. Predicted Value -1.426 1.903 .000 1.000 18

Std. Residual -1.073 1.875 .000 .840 18


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