Pengaruh Profitability dan Investment Opportunity Set Terhadap Cash Dividend Pada Perusahaan Manufaktur di Bursa Efek Indonesia Tahun 2013

Lampiran 1
Tabulasi Data Penelitian
No.

Emiten

1

INTP
SMCB
SMGR
TOTO
ARNA
AMFG
KIAS
LION
LMSH
ALMI
ISSP
INAI
UNIC

ETWA
EKAD
DPNS
CPIN
JPFA
MAIN
AKPI
IPOL
TRST
ALDO
INKP
TKIM
ASII
AUTO
MASA
INDS
IMAS
GDYR
SMSM
GJTL

IKBI
SCCO
KBLI
BATA

2
3
4
5
6
7
8
9
10
11
12
13
14
15
16

17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36

37

ROE
0.21814
0.32513
0.24557
0.22841
0.30931
0.12256
0.03681
0.15576
0.13020
0.03973
0.10523
0.03974
0.07088
0.01775
0.16596
0.29904
0.25412

0.12214
0.28016
0.15021
0.06280
0.01928
0.16148
0.09643
0.03384
0.20998
0.11069
0.05303
0.08390
0.09327
0.08242
0.33594
0.02102
0.02798
0.14833
0.08293
0.11181

NPM
MVA/BVA CAP/MVA
DPR
0.26816 2.90333
0.01773 0.66127
0.19422 1.58143
0.11795 0.72435
0.21853 0.56448
0.11900 0.20791
0.13823 0.40691
0.13736 0.83682
0.16767 5.62586
0.01679 0.49953
0.10520 1.07834
0.02441 0.10261
0.08274 1.11753
0.05147 0.32128
0.19409 0.29124
0.20673 0.32128

0.05614 0.76239
0.01452 0.13349
0.00910 0.82830
0.05778 0.23585
0.05760 1.01767
0.08412 0.07060
0.00783 0.95916
0.00150 0.25245
0.02348 0.68132
0.03258 0.37898
0.00770 0.87514
0.02057 0.19951
0.09423 1.30466
0.12804 0.16187
0.50873 0.23986
0.03820 0.11440
0.09853 3.88715
0.02940 0.29870
0.02992 1.52027
0.05324 0.17857

0.05763 0.61308
0.20168 0.14085
0.04888 0.77044
0.11703 0.66706
0.04070 0.65712
0.19409 0.05770
0.01621 0.69098
0.32178 0.42589
0.05656 1.74007
0.05670 0.06075
0.08343 0.75362
0.21537 0.05042
0.02210 0.75107
0.11383 0.04030
0.11500 1.79022
0.00923 0.45035
0.09886 1.63675
0.05320 0.50532
0.03491 0.86742
0.17403 0.33841

0.08639 0.71347
0.19496 0.28610
0.03091 1.30870
0.02819 0.09868
0.02514 0.50069
0.09689 0.24135
0.14253 3.32861
0.00058 0.65463
0.00974 1.00850
0.01899 0.28960
0.01715 0.49268
0.25588 0.29338
0.02798 0.59841
0.02806 0.29470
0.02858 0.76242
0.00268 0.21798
0.04917 2.44141
0.01338 0.83651

85

38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56

57
58
59
60

TRIS
SRIL
PBRX
INDF
MLBI
DLTA
ROTI
ULTJ
MYOR
ICBP
CEKA
SKLT
GGRM
HMSP
WIIM
KLBF
DVLA
KAEF
TSPC
MERK
SQBB
TCID
UNVR

0.17072
0.13347
0.10549
0.09017
1.18602
0.39981
0.20070
0.16134
0.26872
0.16848
0.12317
0.08192
0.14903
0.76429
0.16935
0.23182
0.13753
0.13276
0.16530
0.38566
0.48846
0.13538
1.25806

0.07190
0.06567
0.03076
0.06142
0.32881
0.31197
0.10496
0.09396
0.08807
0.08906
0.02570
0.02017
0.07908
0.14420
0.08333
0.12314
0.11419
0.04959
0.09315
0.21810
0.25437
0.07897
0.17403

1.26479
1.39987
0.96024
1.25842
14.63325
7.23205
3.40079
0.28328
0.59436
3.17282
0.82929
0.94944
2.01224
10.46353
0.36424
0.24880
0.23345
1.66851
0.28569
0.27102
0.17624
1.82520
15.54320

0.03914
0.38940
0.08078
0.06586
0.01369
0.00015
0.04539
0.05834
0.04443
0.01489
0.01431
0.08476
0.04306
0.00207
0.48865
0.23827
0.08912
0.01228
0.60789
0.00693
0.03633
0.09131
0.00285

0.29604
0.12012
0.02383
0.49797
0.81183
0.72663
0.09994
0.10619
0.19742
0.49786
0.45721
0.23669
0.35556
0.98460
0.30033
0.41463
0.30804
0.25006
0.53191
0.79801
0.94454
0.46482
0.99926

86

Lampiran 2
Deskriptif Statistik
Descriptive Statistics
N
ROE
NPM
MVABVA
CAPMVA
DPR
Valid N (listwise)

Minimum
60
60
60
60
60
60

.01775
.00770
.17624
.00015
.02383

Maximum
1.25806
.50873
15.54320
.60789
.99926

Mean
.2026605
.0993095
1.9356903
.0952973
.3678823

Std. Deviation
.22967648
.09284534
3.01577323
.12021469
.26047244

87

Lampiran 3
Uji Asumsi Klasik
1. Uji Normalitas
a. Normalitas Pendekatan Histogram

b. Pendekatan Grafik

88

c. Pendekatan Statistik Kolmogorov-Smirnov
One-Sample Kolmogorov-Smirnov Test
Unstandardized
Residual
N
a,,b
Normal Parameters
Most Extreme Differences

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

Mean
Std. Deviation
Absolute
Positive
Negative

60
.0000000
.20226064
.112
.112
-.072
.868
.439

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

2. Uji Heteroskedastisitas
a. Pendekatan Scatter Plot

89

b. Uji Glejser

Coefficients

a

Standardized
Coefficients

Unstandardized Coefficients
Model
1

B

Std. Error

Beta

(Constant)

.122

.026

ROE

.181

.162

NPM

.391

.205

MVABVA

-.016

CAPMVA

-.043

t

Sig.
4.667

.000

.356

1.123

.266

.310

1.913

.061

.011

-.403

-1.415

.163

.127

-.045

-.343

.733

a. Dependent Variable: absut

3. Uji Multikolonearitas
Coefficients
Unstandardized
Coefficients
Model
1

B

a

Standardized
Coefficients

Std. Error

(Constant)

.219

.050

ROE

.677

.306

NPM

.197

MVABVA
CAPMVA

Beta

Collinearity
Statistics
t

Sig.

Tolerance

VIF

4.417

.000

.597

2.211

.031

.150

6.645

.388

.070

.509

.613

.574

1.741

-.002

.021

-.018

-.075

.940

.186

5.365

-.055

.240

-.025

-.228

.821

.892

1.121

a. Dependent Variable: DPR

90

Lampiran 4
Pengujian Hipotesis
a. Uji Signifikansi Simultan (Uji F)

b

ANOVA
Model
1

Sum of Squares

df

Mean Square

Regression

1.589

4

.397

Residual

2.414

55

.044

Total

4.003

59

F

Sig.

9.054

.000

a

a. Predictors: (Constant), CAPMVA, NPM, MVABVA, ROE
b. Dependent Variable: DPR

b. Uji Signifikansi Parsial (Uji t)
Coefficients
Unstandardized
Coefficients
Model
1

B

a

Standardized
Coefficients

Std. Error

(Constant)

.219

.050

ROE

.677

.306

NPM

.197

MVABVA
CAPMVA

Beta

Collinearity
Statistics
t

Sig.

Tolerance

VIF

4.417

.000

.597

2.211

.031

.150

6.645

.388

.070

.509

.613

.574

1.741

-.002

.021

-.018

-.075

.940

.186

5.365

-.055

.240

-.025

-.228

.821

.892

1.121

a. Dependent Variable: DPR

c. Uji Koefisien Determinasi (R2)

b

Model Summary

Model
1

R
.630

R Square
a

.397

Adjusted R

Std. Error of the

Square

Estimate
.353

.20948650

Durbin-Watson
1.945

a. Predictors: (Constant), CAPMVA, NPM, MVABVA, ROE
b. Dependent Variable: DPR

91