65
LAMPIRAN
Daftar Perusahaan yang menjadi Sampel Penelitian
No. Kode Saham
Nama perusahaan
1 APLN
Agung Podomoro Land Tbk
2 ASRI
Alam Sutera Reality Tbk
3 BAPA
Bekasi Asri Pemula Tbk
4 BIPP
Bhuawanatala Indah Permai Tbk
5 COWL
Cowell Development Tbk
6 CTRA
Ciputra Development Tbk
7 CTRP
Ciputra Porperty Tbk
8 CTRS
Ciputra Surya Tbk
9 DART
Duta Anggada Realty Tbk
10 DILD
Intiland Development Tbk
11 EMDE
Megapolitan Development Tbk
12 FMII
Fortune Mate Indonesia Tbk
13 GMTD
Goa Makassar Tourism Development Tbk
14 GWSA
Greenwood Sejahtera Tbk
15 JIHD
Jakarta Int'I Hotel & Development Tbk
16 JRPT
Jaya Real Proeperty Tbk
17 JSPT
Jakarta Setiabudi Internasional tbk
18 KIJA
jababeka tbk
19 LAMI
Lamicitra Nusantara Tbk
20 LPCK
Lippo Cikarang Tbk
21 LPKR
Lippo Karawaci Tbk
22 MAMI
Mas Murni Indonesia Tbk
23 MDLN
Modernland Realty Ltd tbk
24 MKPI
Metropolitan Kentjana Tbk
25 MTLA
Metropolitan Land Tbk
26 MTSM
Metro Realty tbk
66
29 PWON
Pakuwon Jati Tbk
30 RBMS
Ristia Bintang Mahkotasejati Tbk
31 RODA
Pikko LandDevelopment Tbk
32 SMDM
Suryamas DutaMakmur Tbk
33 SMRA
summareccon Agung Tbk
Uji Deskriptif
Descriptive Statistics
N Minimum Maximum Mean Std. Deviation STRUKTUR MODAL 165 .07709 2.84944 .7954025 .50312637 NILAI PERUSAHAAN 165 .05678 5.84454 1.2932590 1.03472210 PROFITABILITAS 165 -.27175 .52435 .1118508 .10469150 Valid N (listwise) 165
Model Persamaan Regresi I
PBV = α + βDER + ε
Uji Normalitas
Descriptive Statistics
67
NILAI PERUSAHAAN 1.000 .315
STRUKTUR MODAL .315 1.000
Sig. (1-tailed)
NILAI PERUSAHAAN . .000
STRUKTUR MODAL .000 .
N
NILAI PERUSAHAAN 165 165
STRUKTUR MODAL 165 165
Variables Entered/Removeda
Model Variables Entered
a. Dependent Variable: NILAI PERUSAHAAN b. All requested variables entered.
Coefficient Correlationsa
Model STRUKTUR
MODAL
1
68
Collinearity DiagnosticsaModel Dimension Eigenvalue Condition Index Variance Proportions (Constant) STRUKTUR
MODAL
1
1 1.846 1.000 .08 .08
2 .154 3.460 .92 .92
a. Dependent Variable: NILAI PERUSAHAAN
Residuals Statisticsa
Minimum Maximum Mean Std. Deviation N Predicted Value .8275906 2.6248527 1.2932590 .32616728 165 Residual -2.33841252 4.42085505 0E-8 .98196982 165 Std. Predicted Value -1.428 4.083 .000 1.000 165
Std. Residual -2.374 4.488 .000 .997 165
69
One-Sample Kolmogorov-Smirnov TestUnstandardized Residual
N 165
Normal Parametersa,b
Mean 0E-7
Std. Deviation .98196982
Most Extreme Differences
Absolute .164
Positive .164
Negative -.119
Kolmogorov-Smirnov Z 2.101
Asymp. Sig. (2-tailed) .000
71
Uji Heterokedastisitas
Variables Entered/Removeda
Model Variables Entered
Variables Removed
Method
1 DERb . Enter
72
a. Predictors: (Constant), DER
ANOVAa
a. Dependent Variable: ABS_RES b. Predictors: (Constant), DER
Coefficientsa
Model Unstandardized Coefficients Standardized Coefficients
73
a. Predictors: (Constant), STRUKTUR MODAL b. Dependent Variable: NILAI PERUSAHAAN
Koefisien Determinasi (R
2)
Model Summaryb
a. Predictors: (Constant), STRUKTUR MODAL b. Dependent Variable: NILAI PERUSAHAAN
Coefficientsa
Model Unstandardized Coefficients Standardized Coefficients
t Sig. Collinearity Statistics
B Std. Error Beta Tolerance VIF
1
(Constant) .778 .144 5.409 .000
STRUKTUR
MODAL .648 .153 .315 4.241 .000 1.000 1.000
74
Uji Statistik t
Model Persamaan Regresi II
DER = α + βROE + ε
Uji Normalitas
Descriptive Statistics
Mean Std. Deviation N PROFITABILITAS .1118508 .10469150 165 STRUKTUR MODAL .7954025 .50312637 165
Coefficientsa
Model Unstandardized Coefficients Standardized Coefficients
t Sig. Collinearity Statistics
B Std. Error Beta Tolerance VIF
1
(Constant) .778 .144 5.409 .000
STRUKTUR
MODAL .648 .153 .315 4.241 .000 1.000 1.000
75
PROFITABILITAS 1.000 .199
STRUKTUR MODAL .199 1.000
Sig. (1-tailed)
PROFITABILITAS . .005
STRUKTUR MODAL .005 .
N
PROFITABILITAS 165 165
STRUKTUR MODAL 165 165
Variables Entered/Removeda
Model Variables Entered
a. Dependent Variable: PROFITABILITAS b. All requested variables entered.
ANOVAa
76
Coefficient CorrelationsaModel STRUKTUR
MODAL
1
Correlations STRUKTUR MODAL 1.000 Covariances STRUKTUR MODAL .000 a. Dependent Variable: PROFITABILITAS
Collinearity Diagnosticsa
Model Dimension Eigenvalue Condition Index Variance Proportions (Constant) STRUKTUR
MODAL
1
1 1.846 1.000 .08 .08
2 .154 3.460 .92 .92
a. Dependent Variable: PROFITABILITAS
Residuals Statisticsa
Minimum Maximum Mean Std. Deviation N Predicted Value .0821557 .1967651 .1118508 .02079932 165 Residual -.41917396 .40142050 0E-8 .10260457 165 Std. Predicted Value -1.428 4.083 .000 1.000 165
Std. Residual -4.073 3.900 .000 .997 165
77
Std. Deviation .10260457
Most Extreme Differences
Absolute .102
Positive .068
Negative -.102
Kolmogorov-Smirnov Z 1.316
Asymp. Sig. (2-tailed) .063
a. Test distribution is Normal. b. Calculated from data.
Uji Heterokedastisitas
Variables Entered/Removeda
Model Variables Entered
a. Dependent Variable: Uji_Glejser b. All requested variables entered.
Model Summary
78
a. Dependent Variable: Uji_Glejser
b. Predictors: (Constant), STRUKTUR MODAL
Coefficientsa
Model Unstandardized Coefficients Standardized Coefficients
a. Dependent Variable: Uji_Glejser
Uji Multikolinieritas
Uji Autokorelasi
Coefficientsa
Model Unstandardized
Coefficients
Standardized Coefficients
t Sig. Collinearity Statistics
B Std. Error Beta Tolerance VIF
1
(Constant) .079 .015 5.257 .000
STRUKTUR
MODAL .041 .016 .199 2.588 .011 1.000 1.000
79
a. Predictors: (Constant), STRUKTUR MODAL b. Dependent Variable: PROFITABILITAS
Koefisien Determinasi (R
2)
Model Summaryb
a. Predictors: (Constant), STRUKTUR MODAL b. Dependent Variable: PROFITABILITAS
Uji Statistik t
Coefficientsa
Model Unstandardized
Coefficients
Standardized Coefficients
t Sig. Collinearity Statistics
B Std. Error Beta Tolerance VIF
1
(Constant) .079 .015 5.257 .000
STRUKTUR
MODAL .041 .016 .199 2.588 .011 1.000 1.000
a. Dependent Variable: PROFITABILITAS
80
PBV = α + βROE + ε
Uji Normalitas
Descriptive Statistics
Mean Std. Deviation N NILAI PERUSAHAAN 1.2932590 1.03472210 165 PROFITABILITAS .1118508 .10469150 165
Correlations
NILAI PERUSAHAAN
PROFITABILIT AS
Pearson Correlation
NILAI PERUSAHAAN 1.000 .316
PROFITABILITAS .316 1.000
Sig. (1-tailed)
NILAI PERUSAHAAN . .000
PROFITABILITAS .000 .
N
NILAI PERUSAHAAN 165 165
81
Variables Entered/RemovedaModel Variables Entered
a. Dependent Variable: NILAI PERUSAHAAN b. All requested variables entered.
ANOVAa
a. Dependent Variable: NILAI PERUSAHAAN b. Predictors: (Constant), PROFITABILITAS
Coefficient Correlationsa
Model PROFITABILIT
AS
1
82
Collinearity DiagnosticsaModel Dimension Eigenvalue Condition Index Variance Proportions (Constant) PROFITABILIT
AS
1
1 1.731 1.000 .13 .13
2 .269 2.537 .87 .87
a. Dependent Variable: NILAI PERUSAHAAN
Residuals Statisticsa
Minimum Maximum Mean Std. Deviation N Predicted Value .0937762 2.5831041 1.2932590 .32736022 165 Residual -2.00560403 4.26826763 0E-8 .98157277 165 Std. Predicted Value -3.664 3.940 .000 1.000 165
Std. Residual -2.037 4.335 .000 .997 165
83
One-Sample Kolmogorov-Smirnov TestUnstandardized Residual
N 165
Normal Parametersa,b
Mean 0E-7
Std. Deviation .98157277
Most Extreme Differences
Absolute .141
Positive .141
Negative -.092
Kolmogorov-Smirnov Z 1.816
Asymp. Sig. (2-tailed) .003
85
Uji Heterokedastisitas
Variables Entered/Removeda
Model Variables Entered
Variables Removed
Method
1 PROFITABILIT
ASb . Enter
86
a. Predictors: (Constant), PROFITABILITAS
ANOVAa
a. Dependent Variable: uji_glejser
b. Predictors: (Constant), PROFITABILITAS
Coefficientsa
Model Unstandardized Coefficients Standardized Coefficients
87
a. Predictors: (Constant), PROFITABILITAS b. Dependent Variable: NILAI PERUSAHAAN
Koefisien Determinasi (R
2)
Model Summaryb
a. Predictors: (Constant), PROFITABILITAS b. Dependent Variable: NILAI PERUSAHAAN
Coefficientsa
Model Unstandardized
Coefficients
Standardized Coefficients
t Sig. Collinearity Statistics
B Std. Error Beta Tolerance VIF
1
(Constant) .944 .112 8.398 .000
PROFITABILIT
AS 3.127 .734 .316 4.258 .000 1.000 1.000
88
Uji Statistik t
Coefficientsa
Model Unstandardized
Coefficients
Standardized Coefficients
t Sig. Collinearity Statistics
B Std. Error Beta Tolerance VIF
1
(Constant) .944 .112 8.398 .000
PROFITABILIT
AS 3.127 .734 .316 4.258 .000 1.000 1.000