Analisis Pengaruh Jumlah Tenaga Kerja Dan Bahan Baku Terhadap Pendapatan Jasa Industri Besar dan Sedang Propinsi Sumatera Utara
LAMPIRAN 1
Variables Entered/Removedb
Variables
Model
Variables Entered
bahan_baku,
Jlh_TenagaKerjaa
Removed
Method
.
Enter
a. All requested variables entered.
b. Dependent Variable: Pendapatan_Jasa
Correlations
Pendapatan_Jasa
Pearson Correlation
Sig. (1-tailed)
N
Jlh_TenagaKerja
bahan_baku
Pendapatan_Jasa
1.000
-.272
-.572
Jlh_TenagaKerja
-.272
1.000
-.054
bahan_baku
-.572
-.054
1.000
Pendapatan_Jasa
.
.209
.033
Jlh_TenagaKerja
.209
.
.437
bahan_baku
.033
.437
.
Pendapatan_Jasa
11
11
11
Jlh_TenagaKerja
11
11
11
bahan_baku
11
11
11
Model Summaryb
Std. Error of the
Model
R
R Square
Adjusted R Square
Estimate
Durbin-Watson
.648a
.420
.275
.282669
1.675
a. Predictors: (Constant), bahan_baku, Jlh_TenagaKerja
b. Dependent Variable: Pendapatan_Jasa
Universitas Sumatera Utara
ANOVAb
Model
Sum of Squares
df
Mean Square
Regression .462
2
.231
Residual
8
.080
.639
Total
F
Sig.
2.892
.113a
1
1.101
0
a. Predictors: (Constant), bahan_baku, Jlh_TenagaKerja
b.
Dependent
Variable:
Pendapatan_Jasa
Coefficientsa
Unstandardized
Standardized
Coefficients
Coefficients
Collinearity Statistics
S
Model
B Std. Error
(Constant)
1.527
.710
Jlh_TenagaKerja -.001
.001
bahan_baku
.010
-.021
Beta
t
ig.
Tolerance
.064
-.304
-1.126
.293
.997
1.003
-.589
-2.183
.061
.997
1.003
Collinearity Diagnosticsa
Variance Proportions
imensio
n
Eigenvalue
Condition Index
IF
.151
a. Dependent Variable: Pendapatan_Jasa
Model
V
(Constant) Jlh_TenagaKerja
bahan_baku
2.886
1.000
.00
.00
.02
.106
5.210
.02
.03
.94
.008
19.217
.98
.97
.05
a. Dependent Variable: Pendapatan_Jasa
Universitas Sumatera Utara
Universitas Sumatera Utara
Universitas Sumatera Utara
Variables Entered/Removedb
Variables
Model
Variables Entered
bahan_baku,
Jlh_TenagaKerjaa
Removed
Method
.
Enter
a. All requested variables entered.
b. Dependent Variable: Pendapatan_Jasa
Correlations
Pendapatan_Jasa
Pearson Correlation
Sig. (1-tailed)
N
Jlh_TenagaKerja
bahan_baku
Pendapatan_Jasa
1.000
-.272
-.572
Jlh_TenagaKerja
-.272
1.000
-.054
bahan_baku
-.572
-.054
1.000
Pendapatan_Jasa
.
.209
.033
Jlh_TenagaKerja
.209
.
.437
bahan_baku
.033
.437
.
Pendapatan_Jasa
11
11
11
Jlh_TenagaKerja
11
11
11
bahan_baku
11
11
11
Model Summaryb
Std. Error of the
Model
R
R Square
Adjusted R Square
Estimate
Durbin-Watson
.648a
.420
.275
.282669
1.675
a. Predictors: (Constant), bahan_baku, Jlh_TenagaKerja
b. Dependent Variable: Pendapatan_Jasa
Universitas Sumatera Utara
ANOVAb
Model
Sum of Squares
df
Mean Square
Regression .462
2
.231
Residual
8
.080
.639
Total
F
Sig.
2.892
.113a
1
1.101
0
a. Predictors: (Constant), bahan_baku, Jlh_TenagaKerja
b.
Dependent
Variable:
Pendapatan_Jasa
Coefficientsa
Unstandardized
Standardized
Coefficients
Coefficients
Collinearity Statistics
S
Model
B Std. Error
(Constant)
1.527
.710
Jlh_TenagaKerja -.001
.001
bahan_baku
.010
-.021
Beta
t
ig.
Tolerance
.064
-.304
-1.126
.293
.997
1.003
-.589
-2.183
.061
.997
1.003
Collinearity Diagnosticsa
Variance Proportions
imensio
n
Eigenvalue
Condition Index
IF
.151
a. Dependent Variable: Pendapatan_Jasa
Model
V
(Constant) Jlh_TenagaKerja
bahan_baku
2.886
1.000
.00
.00
.02
.106
5.210
.02
.03
.94
.008
19.217
.98
.97
.05
a. Dependent Variable: Pendapatan_Jasa
Universitas Sumatera Utara
Universitas Sumatera Utara
Universitas Sumatera Utara