• Tidak ada hasil yang ditemukan

Lampiran 1 : Laporan Tabulasi

N/A
N/A
Protected

Academic year: 2021

Membagikan "Lampiran 1 : Laporan Tabulasi"

Copied!
21
0
0

Teks penuh

(1)

Lampiran 1 : Laporan Tabulasi

Tahun Premi X1 X2 X3 X4 X5 X6 Y 2006 Baru 4,959.55 28,931.09 533.63 330.97 39,737.88 38,919.50 3,185.99 2007 Baru 4,570.92 22,437.73 232.32 159.26 56,746.59 35,758.39 2,696.01 2008 Baru 21,462.85 55,812.55 412.71 156.52 32,804.34 46,190.59 (1,371.13) 2009 Baru 15,109.15 40,669.12 1,253.91 257.78 57,574.87 40,465.64 2,521.17 2010 Baru 9,183.20 90,484.70 969.10 222.10 61,643.20 57,182.00 4,393.01 2011 Baru 13,289.90 67,101.20 1,795.20 1,698.70 29,705.60 93,131.00 4,272.62 2006 Lanjutan 2,825.69 58,952.48 2,910.76 302.79 66,279.78 90,536.08 6,231.01 2007 Lanjutan 3,276.21 42,538.59 3,117.16 1,373.70 95,005.23 231,152.58 8,464.59 2008 Lanjutan 9,379.70 62,994.75 2,857.70 1,351.44 130,114.43 327,393.53 (4,669.17) 2009 Lanjutan 15,309.31 55,982.08 2,739.94 1,198.12 112,068.33 300,029.46 7,909.83 2010 Lanjutan 20,360.90 50,499.40 3,450.80 1,368.70 116,124.20 335,732.10 10,549.09 2011 Lanjutan 22,846.70 44,203.20 3,935.50 1,226.80 183,703.30 623,069.20 18,167.28

(2)

Lampiran 2 : Output Uji Normalitas Data

One-Sample Kolmogorov-Smirnov Test

Standardized Residual

N 12

Normal Parametersa,,b Mean .0000000

Std. Deviation .67419986 Most Extreme Differences Absolute .273

Positive .200

Negative -.273

Kolmogorov-Smirnov Z .947

Asymp. Sig. (2-tailed) .331

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

(3)

Lampiran 3 : Output Uji Multikolinieritas Data

Coefficientsa Model Unstandardized Coefficients Standar dized Coeffici ents t Sig. Collinearity Statistics B Std. Error Beta Toler ance VIF 1 (Constant) 11742.71 0 10257.197 1.145 .304

Pend Asuransi Kematian -.093 .346 -.115 -.268 .799 .428 2.334 Pend Asuransi Dwiguna -.045 .100 -.139 -.448 .673 .824 1.214 Pend Asuransi Seumur

Hidup

3.109 2.904 .693 1.070 .333 .189 5.295

Pend Asuransi Kecelakaan -5.958 5.163 -.617 -1.154 .301 .277 3.608 Pend Asuransi Kesehatan -.210 .188 -1.672 -1.119 .314 .035 28.171 Pend Produk Investasi .068 .058 2.131 1.179 .292 .024 41.292 a. Dependent Variable: Laba Sebelum Pajak

(4)

Lampiran 4 : Output Uji Heteroskedastisitas Data

Coefficientsa Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta 1 (Constant) -3294.054 4435.039 -.743 .491

Pend Asuransi Kematian -.013 .150 -.041 -.087 .934 Pend Asuransi Dwiguna .079 .043 .622 1.813 .130 Pend Asuransi Seumur

Hidup

-1.530 1.256 -.873 -1.218 .277

Pend Asuransi Kecelakaan .963 2.232 .255 .431 .684 Pend Asuransi Kesehatan .080 .081 1.625 .983 .371 Pend Produk Investasi -.011 .025 -.898 -.449 .672 a. Dependent Variable: abres

(5)

Lampiran 5 : Output Uji Otokorelasi Data

Model Summaryb Model R R Square Adjusted R Square Std. Error of the Estimate Durbin-Watson 1 .777a .604 .129 5452.29135 2.453

a. Predictors: (Constant), Pend Produk Investasi, Pend Asuransi Dwiguna, Pend Asuransi Kematian, Pend Asuransi Kecelakaan, Pend Asuransi Seumur Hidup, Pend Asuransi Kesehatan

(6)

Lampiran 6 : Output Uji Linieritas Data (Old)

Model Summaryb Model R R Square Adjusted R Square Std. Error of the Estimate 1 .777a .604 .129 5452.29135

a. Predictors: (Constant), Pend Produk Investasi, Pend Asuransi Dwiguna, Pend Asuransi Kematian, Pend Asuransi Kecelakaan, Pend Asuransi Seumur Hidup, Pend Asuransi Kesehatan

b. Dependent Variable: Laba Sebelum Pajak

Lampiran 7 : Output Uji Linieritas Data (New)

Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .978a .956 .880 2023.52147

a. Predictors: (Constant), DFFIT, Pend Asuransi Seumur Hidup, Pend Asuransi Dwiguna, Pend Asuransi Kematian, Pend Asuransi

(7)

Lampiran 8 : Laporan Tabulasi Transformasi First Different Form

X1 X2 X3 X4 X5 X6 Y

(388.63)

(6,493.36)

(301.31)

(171.71)

17,008.71

(3,161.11)

(489.98)

16,891.93

33,374.82

180.39

(2.74)

(23,942.25)

10,432.20

(4,067.14)

(6,353.70)

(15,143.43)

841.20

101.26

24,770.53

(5,724.95)

3,892.31

(5,925.95)

49,815.58

(284.81)

(35.68)

4,068.33

16,716.36

1,871.83

4,106.70

(23,383.50)

826.10

1,476.60

(31,937.60)

35,949.00

(120.39)

(10,464.21)

(8,148.72)

1,115.56

(1,395.91)

36,574.18

(2,594.92)

1,958.39

450.52

(16,413.89)

206.40

1,070.91

28,725.45

140,616.50

2,233.58

6,103.49

20,456.16

(259.46)

(22.26)

35,109.20

96,240.95

(13,133.76)

5,929.61

(7,012.67)

(117.76)

(153.32)

(18,046.10)

(27,364.07)

12,578.99

5,051.59

(5,482.68)

710.86

170.58

4,055.87

35,702.64

2,639.27

2,485.80

(6,296.20)

484.70

(141.90)

67,579.10

287,337.10

7,618.19

(8)

Lampiran 9 : Output Uji Normalitas Transformasi Data

One-Sample Kolmogorov-Smirnov Test

Standardized Residual

N 11

Normal Parametersa,,b Mean .0000000

Std. Deviation .63245553 Most Extreme Differences Absolute .217

Positive .131

Negative -.217

Kolmogorov-Smirnov Z .718

Asymp. Sig. (2-tailed) .680

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

(9)

Lampiran 10 : Output Uji Multikolinieritas Transformasi Data

Coefficientsa Model Unstandardized Coefficients Standar dized Coeffici ents t Sig. Collinearity Statistics B Std. Error Beta Toler ance VIF 1 (Constant) 4652.701 3436.849 1.354 .247

Pend Asuransi Kematian -.705 .477 -.817 -1.479 .213 .371 2.697 Pend Asuransi Dwiguna -.208 .134 -.736 -1.551 .196 .502 1.992 Pend Asuransi Seumur

Hidup

-4.370 5.699 -.347 -.767 .486 .551 1.815

Pend Asuransi Kecelakaan -8.449 5.346 -.951 -1.580 .189 .312 3.205 Pend Asuransi Kesehatan -.376 .216 -1.736 -1.741 .157 .114 8.796 Pend Produk Investasi .096 .060 1.364 1.611 .182 .158 6.342 a. Dependent Variable: Laba Sebelum Pajak

(10)

Lampiran 11 : Output Uji Heteroskedastisitas Transformasi Data

Coefficientsa Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta 1 (Constant) 3786.052 1323.750 2.860 .046 Pend Asuransi Kematian .034 .184 .127 .186 .861 Pend Asuransi Dwiguna -.025 .052 -.280 -.478 .658 Pend Asuransi Seumur

Hidup

.524 2.195 .133 .239 .823

Pend Asuransi Kecelakaan .869 2.059 .313 .422 .695 Pend Asuransi Kesehatan .042 .083 .616 .501 .643 Pend Produk Investasi -.017 .023 -.776 -.743 .499 a. Dependent Variable: abres

(11)

Lampiran 12 : Output Uji Otokorelasi Transformasi Data

Model Summaryb Model R R Square Adjusted R Square Std. Error of the Estimate Durbin-Watson 1 .740a .548 -.130 6886.51517 1.916

a. Predictors: (Constant), Pend Produk Investasi, Pend Asuransi Seumur Hidup, Pend Asuransi Kecelakaan, Pend Asuransi Kematian, Pend Asuransi Dwiguna, Pend Asuransi Kesehatan

(12)

Lampiran 13 : Output Uji Linieritas Transformasi Data (Old)

Model Summaryb Model R R Square Adjusted R Square Std. Error of the Estimate 1 .740a .548 -.130 6886.51517

a. Predictors: (Constant), Pend Produk Investasi, Pend Asuransi Seumur Hidup, Pend Asuransi Kecelakaan, Pend Asuransi Kematian, Pend Asuransi Dwiguna, Pend Asuransi Kesehatan

b. Dependent Variable: Laba Sebelum Pajak

Lampiran 14 : Output Uji Linieritas Transformasi Data (New)

Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .986a .973 .910 1938.48525

a. Predictors: (Constant), DFFIT, Pend Asuransi Kesehatan, Pend Asuransi Kecelakaan, Pend Asuransi Seumur Hidup, Pend Asuransi Kematian, Pend Asuransi Dwiguna, Pend Produk Investasi

(13)

Lampiran 15 : Output Uji Analisis Regresi Berganda (tabel Coefficients)

Coefficientsa Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta 1 (Constant) 4652.701 3436.849 1.354 .247

Pend Asuransi Kematian -.705 .477 -.817 -1.479 .213 Pend Asuransi Dwiguna -.208 .134 -.736 -1.551 .196 Pend Asuransi Seumur

Hidup

-4.370 5.699 -.347 -.767 .486

Pend Asuransi Kecelakaan -8.449 5.346 -.951 -1.580 .189 Pend Asuransi Kesehatan -.376 .216 -1.736 -1.741 .157

Pend Produk Investasi .096 .060 1.364 1.611 .182

(14)

Lampiran 16 : Output Uji Analisis Regresi Berganda (tabel Anova)

ANOVAb

Model Sum of Squares Df Mean Square F Sig.

1 Regression 2.299E8 6 3.832E7 .808 .612a

Residual 1.897E8 4 4.742E7

Total 4.196E8 10

a. Predictors: (Constant), Pend Produk Investasi, Pend Asuransi Seumur Hidup, Pend Asuransi Kecelakaan, Pend Asuransi Kematian, Pend Asuransi Dwiguna, Pend Asuransi Kesehatan b. Dependent Variable: Laba Sebelum Pajak

(15)

Lampiran 17 : Output Uji Analisis Regresi Berganda (tabel Model Summary)

Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .740a .548 -.130 6886.51517

a. Predictors: (Constant), Pend Produk Investasi, Pend Asuransi Seumur Hidup, Pend Asuransi Kecelakaan, Pend Asuransi Kematian, Pend Asuransi Dwiguna, Pend Asuransi Kesehatan

(16)

Lampiran 18 : Output Regresi Sederhana Pendapatan Asuransi Kematian (tabel

Model Summary)

Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .251a .063 -.041 6609.34625

(17)

Lampiran 19 : Output Regresi Sederhana Pendapatan Asuransi Dwiguna (tabel

Model Summary)

Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .396a .157 .063 6270.75412

(18)

Lampiran 20 : Output Regresi Sederhana Pendapatan Asuransi Seumur Hidup

(tabel Model Summary)

Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .227a .051 -.054 6650.15970

(19)

Lampiran 21 : Output Regresi Sederhana Pendapatan Asuransi Kecelakaan

(tabel Model Summary)

Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .076a .006 -.105 6808.36035

(20)

Lampiran 22 : Output Regresi Sederhana Pendapatan Asuransi Kesehatan

(tabel Model Summary)

Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .013a .000 -.111 6827.43188

(21)

Lampiran 23 : Output Regresi Sederhana Pendapatan Produk Investasi (tabel

Model Summary)

Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .026a .001 -.110 6825.80936

Referensi

Dokumen terkait

[r]

Risiko serangan jantung secara langsung berhubungan dengan tekanan darah, setiap penurunan tekanan darah diastolik sebesar 5 mmHg risikonya berkurang sekitar 16 %. 25

Penulisan ini bertujuan untuk (a) mendapatkan gambaran yang jelas tentang pengaruh pemahaman SAP, pelatihan, akuntabilitas, dan transparansi, (b) mengetahui seberapa besar

Uji Nilai Selisih Mutlak menunjukkan bahwa standar akuntansi pemerintahan tidak memoderasi hubungan antara akuntabilitas publik transparansi publik, dan pengawasan dengan

The project consists of (a) operationalization of the national policy including institutional strengthening and youth centers strengthening, and (b) youth in local

DEVELOPMENT OF MOBILE APPLICATION BASED ON CROWDSOURCING FOR CAR RENTAL MANAGEMENT BY USING SCRUM.. METHODOLOGY (CUSTOMER SIDE) 1 Komang Aditya Respa Putra, 2 Soni Fajar Surya G,

Tetap dan sesuai dengan yang dijelaskan dengan LDP halaman 29 dan LDK halaman 32 Peralatan milik sendiri adalah peralatan yang dimiliki oleh perusahaan atas nama perusahaan

The four consideration points of the framework development are: first, based on a comprehensive success definition as guidance for measuring the critical connection between the