LAMPIRAN
Lampiran I
Jadwal Penelitian
Tahapan Penelitian
Periode
2014
2015
Sept
Okt
Nov
Des
Jan
Feb
Maret
Pengajuan Judul
Penyelesaian Proposal
Bimbingan dan
Perbaikan Proposal
Seminar Proposal
Pengumpulan dan
Pengolahan Data
Bimbingan dan
Penyelesaian Skripsi
Account Payable to Cost of Goods Sold Ratio
No. Kode
Emiten Nama Perusahaan
Net Working Capital to Total Asset Ratio
No. Kode
Emiten Nama Perusahaan
Net Working Capital to Total Asset Ratio
Lampiran III
Hasil Pengolahan Data SPSS
Statistik Deskriptif Sebelum Tranformasi
Statistik Deskriptif Sesudah Tranformasi
Descriptive StatisticsMean Std. Deviation N
GPM .3613 .17352 96
ITR 5.9129 6.05116 96
AR_COGS .4973 .31051 96
NWCTA .3063 .22424 96
DR .3931 .15638 96
Descriptive Statistics
Mean Std. Deviation N
GPM .3536 .17135 86
LN_ITR 1.4849 .67415 86
LN_ARCOGS -.9008 .55367 86
LN_NWCTA -1.2986 .87181 86
Uji Normalitas Sebelum Transformasi
a. Test distribution is Normal. b. Calculated from data.
One-Sample Kolmogorov-Smirnov Test
Unstandardized
Residual
N 96
Normal Parametersa,b
Mean .0000000
Std. Deviation .13802662
Most Extreme Differences
Absolute .104
Positive .104
Negative -.069
Kolmogorov-Smirnov Z 1.018
Uji Multikolinieritas Sebelum Transform
Dependent Variable: GPM
Uji Multikolinieritas Sesudah Transform
Dependent Variable: GPM
Coefficientsa
Model
Collinearity Statistics
Tolerance VIF
(Constant)
ITR .829 1.206
AP_COGS .752 1.329
NWCTA .342 2.927
DR .348 2.877
Coefficientsa
Model
Collinearity Statistics
Tolerance VIF
1
(Constant)
LN_ITR .783 1.278
LN_ARCOGS .711 1.407
LN_NWCTA .570 1.755
Uji Heteroskedastisitas Sebelum Transform
Uji Autokorelasi Sebelum Transform
a. Predictors: (Constant), DR, ITR, AP_COGS, NWCTA
b. Dependent Variable: GPM
Uji Autokorelasi Sesudah Transform
a. Predictors: (Constant), LN_DR, LN_ITR, LN_ARCOGS, LN_NWCTA
b. Dependent Variable: GPM
Model Summaryb
Model
Change Statistics
Durbin-Watson R Square Change F Change df1 df2 Sig. F Change
1 .367 13.203 4 91a .000 .638
Model Summaryb
Model
Change Statistics
Durbin-Watson R Square Change F Change df1 df2 Sig. F Change
Koefisien Determinasi (R
2)
a. Predictors: (Constant), LN_DR, LN_ITR, LN_APCOGS, LN_NWCTA b. Dependent Variable: GPM
Hasil Uji F (Secara Simultan)
ANOVAa
Model Sum of Squares Df Mean Square F Sig.
1
Regression .810 4 .203 9.732 .000b
Residual 1.686 81 .021
Total 2.496 85
Model Summaryb
Model R R Square Adjusted R Square Std. Error of the Estimate
1 .570a .325 .291 .14425
a. Dependent Variable: GPM
Hasil Uji t (Parsial)
Dependent Variable: GPM
Coefficientsa
Model Unstandardized
Coefficients
Standardized
Coefficients
t Sig.
B Std. Error Beta
1
(Constant) .257 .072 3.555 .001
LN_ITR .033 .026 .129 1.246 .216
LN_APCOGS .124 .034 .402 3.714 .000
LN_NWCTA .047 .024 .240 1.987 .050
LAMPIRAN IV
Tabel F
Titik Persentase Distribusi F untuk Probabilitas = 0,05
DF DF1
DF2 1 2 3 4 5 6
78 3,96 3,11 2,72 2,49 2,33 2,22
79 3,96 3,11 2,72 2,49 2,33 2,22
80 3,96 3,11 2,72 2,49 2,33 2,21
81 3,96 3,11 2,72 2,48 2,33 2,21
82 3,96 3,11 2,72 2,48 2,33 2,21
83 3,96 3,11 2,71 2,48 2,32 2,21
84 3,95 3,11 2,71 2,48 2,32 2,21
85 3,95 3,10 2,71 2,48 2,32 2,21
86 3,95 3,10 2,71 2,48 2,32 2,21
87 3,95 3,10 2,71 2,48 2,32 2,20
88 3,95 3,10 2,71 2,48 2,32 2,20
89 3,95 3,10 2,71 2,47 2,32 2,20