1. Jadwal Penelitian
Jadwal
Bulan Pelaksanaan 2014 s/d 2015
November
Desember
Januari
Maret
Juni
Juli
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4
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1.Pembuatan
Proposal
2. Bimbingan
Proposal
3. Pergantian
judul
4. Seminar
proposal
5. Bimbingan
Skripsi
6. Sidang Meja
Hijau
2. Data Penelitian
3. Statistik Deskriptif
4. Analisis Regresi Model I
Variables Entered/Removeda
Model Variables
Entered
a. Dependent Variable: ROA
b. All requested variables entered.
Model Summaryb
Model R R Square Adjusted R
a. Predictors: (Constant), DAR, ITA, LNTA, CR
b. Dependent Variable: ROA
ANOVAa
a. Dependent Variable: ROA
Coefficientsa
Model Unstandardized Coefficients Standardized
Coefficients
Model Collinearity Statistics
Tolerance VIF
1
a. Dependent Variable: ROA
Coefficient Correlationsa
Model DAR ITA LNTA CR
Collinearity Diagnosticsa
Model Dimension Eigenvalue Condition Index Variance Proportions
(Constant) LNTA CR ITA DAR
a. Dependent Variable: ROA
Residuals Statisticsa
Minimum Maximum Mean Std. Deviation N
Predicted Value 1.1035 3.9712 2.3139 .55567 87
Std. Predicted Value -2.178 2.983 .000 1.000 87
Standard Error of Predicted
Value .093 .371 .173 .054 87
Adjusted Predicted Value 1.2985 4.1466 2.3195 .56659 87
Residual -2.00353 1.64287 .00000 .73742 87
Std. Residual -2.653 2.175 .000 .976 87
Stud. Residual -2.820 2.221 -.003 1.010 87
Deleted Residual -2.26434 1.71187 -.00556 .79002 87
Stud. Deleted Residual -2.950 2.277 -.002 1.024 87
Mahal. Distance .328 19.770 3.954 3.429 87
Cook's Distance .000 .207 .015 .028 87
Centered Leverage Value .004 .230 .046 .040 87
a. Dependent Variable: ROA
NPAR TESTS
/K-S(NORMAL)=RES_1
/MISSING ANALYSIS.
NPar Test s
One-Sample Kolmogorov-Smirnov Test
Unstandardized
Residual
N 87
Normal Parametersa,b Mean 0E-7
Std. Deviation .73741722
Most Extreme Differences
Absolute .143
Positive .143
Negative -.075
Kolmogorov-Smirnov Z 1.337
Asymp. Sig. (2-tailed) .056
a. Test distribution is Normal.
Variables Entered/Removeda
Model Variables
Entered
a. Dependent Variable: ROA
b. All requested variables entered.
Model Summaryb
Model R R Square Adjusted R
a. Predictors: (Constant), DAR, ITA, LNTS, CR
b. Dependent Variable: ROA
ANOVAa
a. Dependent Variable: ROA
b. Predictors: (Constant), DAR, ITA, LNTS, CR
Coefficientsa
Model Unstandardized Coefficients Standardized
Coefficientsa
Model Collinearity Statistics
Tolerance VIF
1
a. Dependent Variable: ROA
Coefficient Correlationsa
Model DAR ITA LNTS CR
a. Dependent Variable: ROA
Collinearity Diagnosticsa
Model Dimension Eigenvalue Condition Index Variance Proportions
(Constant) LNTS CR ITA DAR
Residuals Statisticsa
Minimum Maximum Mean Std. Deviation N
Predicted Value .9209 3.8275 2.3139 .60481 87
Std. Predicted Value -2.303 2.503 .000 1.000 87
Standard Error of Predicted
Value .092 .353 .163 .052 87
Adjusted Predicted Value 1.1055 3.9594 2.3175 .60984 87
Residual -1.82090 1.57478 .00000 .69768 87
Std. Residual -2.549 2.204 .000 .976 87
Stud. Residual -2.718 2.274 -.002 1.010 87
Deleted Residual -2.07084 1.68737 -.00364 .74628 87
Stud. Deleted Residual -2.832 2.335 .000 1.023 87
Mahal. Distance .423 20.034 3.954 3.495 87
Cook's Distance .000 .203 .014 .027 87
Centered Leverage Value .005 .233 .046 .041 87
a. Dependent Variable: ROA
NPar Test s
One-Sample Kolmogorov-Smirnov Test
Unstandardized
Residual
N 87
Normal Parametersa,b Mean 0E-7
Std. Deviation .69768164
Most Extreme Differences
Absolute .140
Positive .140
Negative -.079
Kolmogorov-Smirnov Z 1.309
Asymp. Sig. (2-tailed) .065
a. Test distribution is Normal.