Analisis Pengaruh Aksesibilitas Terhadap Pengembangan Wilayah Kota Binjai
87
Explore
DESKRIPSI
Case Processing Summary
Cases
Valid
N
Total Tenaga Kerja (X1)
Missing
Percent
25
100.0%
N
Total
Percent
0
N
0.0%
Percent
25
100.0%
Descriptives
Statistic
Total Tenaga Kerja (X1)
Mean
95% Confidence Interval for
4.0012
Lower Bound
2.8656
Upper Bound
5.1368
Std. Error
.55023
Mean
5% Trimmed Mean
3.7853
Median
2.7400
Variance
Std. Deviation
7.569
2.75114
Minimum
1.28
Maximum
10.61
Range
9.33
Interquartile Range
3.95
Skewness
Kurtosis
1.084
.464
.583
.902
Universitas Sumatera Utara
88
Descriptives
Statistic
Total jarak kecamatan ke
Mean
4.0020
Std. Error
.29814
ota (X2)
95% Confidence Interval for
Lower Bound
3.3867
Upper Bound
4.6173
Mean
5% Trimmed Mean
3.9278
Median
4.0000
Variance
Std. Deviation
2.222
1.49071
Minimum
2.67
Maximum
6.67
Range
4.00
Interquartile Range
1.33
Skewness
.975
.464
-.328
.902
Kurtosis
Universitas Sumatera Utara
89
Descriptives
Statistic
Indeks aksesibilitas tenaga
Mean
7.7236
Std. Error
1.86796
kerja (X3)
95% Confidence Interval for
Lower Bound
3.8683
Upper Bound
11.5789
Mean
5% Trimmed Mean
6.6859
Median
3.0200
Variance
87.232
Std. Deviation
9.33979
Minimum
.87
Maximum
33.22
Range
32.35
Interquartile Range
6.89
Skewness
1.881
.464
Kurtosis
2.864
.902
Universitas Sumatera Utara
90
Descriptives
Statistic
Aksesibilitas (X)
Mean
95% Confidence Interval for
15.7268
Lower Bound
11.1333
Upper Bound
20.3203
Std. Error
2.22563
Mean
5% Trimmed Mean
14.5046
Median
13.9800
Variance
123.835
Std. Deviation
11.12814
Minimum
6.94
Maximum
46.50
Range
39.56
Interquartile Range
8.65
Skewness
1.849
.464
Kurtosis
3.144
.902
Universitas Sumatera Utara
91
Descriptives
Statistic
Pengembangan Wilayah (Y) Mean
95% Confidence Interval for
.2412
Lower Bound
.1711
Upper Bound
.3113
Std. Error
.03397
Mean
5% Trimmed Mean
.2224
Median
.2100
Variance
Std. Deviation
.029
.16984
Minimum
.11
Maximum
.71
Range
.60
Interquartile Range
.14
Skewness
1.851
.464
Kurtosis
3.122
.902
Universitas Sumatera Utara
92
UJI ASUMSI
UJI NORMALITAS
Universitas Sumatera Utara
93
UJI MULTIKOLINEARITAS
Coefficients
Model
1
a
Unstandardized
Standardized
Collinearity
Coefficients
Coefficients
Statistics
B
Std. Error
(Constant)
.043
.122
LnX1
.130
.047
LnX2
.047
LnX3
.074
Beta
t
Sig.
Tolerance
VIF
.349
.730
.520
2.758
.012
.189
4.292
.085
.096
.559
.582
.228
4.382
.039
.453
1.915
.069
.120
3.350
a. Dependent Variable: Pengembanagn Wilayah (Y)
Universitas Sumatera Utara
94
Regression
X1---Y
Model Summary
Model
R
1
.829
R Square
a
Adjusted R
Std. Error of the
Square
Estimate
.687
.673
.09708
a. Predictors: (Constant), LnX1
a
ANOVA
Model
1
Sum of Squares
df
Mean Square
Regression
.475
1
.475
Residual
.217
23
.009
Total
.692
24
F
Sig.
50.451
.000
b
a. Dependent Variable: Pengembanagn Wilayah (Y)
b. Predictors: (Constant), LnX1
Coefficients
a
Standardized
Unstandardized Coefficients
Model
1
B
Std. Error
(Constant)
.000
.039
LnX1
.207
.029
Coefficients
Beta
t
.829
Sig.
.004
.997
7.103
.000
a. Dependent Variable: Pengembanagn Wilayah (Y)
Universitas Sumatera Utara
95
X2---Y
Model Summary
Model
R
1
.349
R Square
a
Adjusted R
Std. Error of the
Square
Estimate
.122
.084
.16259
a. Predictors: (Constant), LnX2
a
ANOVA
Model
1
Sum of Squares
df
Mean Square
Regression
.084
1
.084
Residual
.608
23
.026
Total
.692
24
F
Sig.
3.187
.009
b
a. Dependent Variable: Pengembanagn Wilayah (Y)
b. Predictors: (Constant), LnX2
Coefficients
a
Standardized
Unstandardized Coefficients
Model
1
B
Std. Error
(Constant)
.469
.132
LnX2
.172
.096
Coefficients
Beta
t
.349
Sig.
3.560
.002
1.785
.009
a. Dependent Variable: Pengembanagn Wilayah (Y)
Universitas Sumatera Utara
96
X3---Y
Model Summary
Model
R
1
.870
R Square
a
Adjusted R
Std. Error of the
Square
Estimate
.757
.747
.08544
a. Predictors: (Constant), LnX3
a
ANOVA
Model
1
Sum of Squares
df
Mean Square
Regression
.524
1
.524
Residual
.168
23
.007
Total
.692
24
F
Sig.
71.831
.000
b
a. Dependent Variable: Pengembanagn Wilayah (Y)
b. Predictors: (Constant), LnX3
Coefficients
a
Standardized
Unstandardized Coefficients
Model
1
B
Std. Error
(Constant)
.030
.030
LnX3
.142
.017
Coefficients
Beta
t
.870
Sig.
1.005
.325
8.475
.000
Universitas Sumatera Utara
97
a. Dependent Variable: Pengembanagn Wilayah (Y)
X1,X2,X3---Y
Model Summary
Model
R
1
.927
R Square
a
Adjusted R
Std. Error of the
Square
Estimate
.859
.839
.06818
a. Predictors: (Constant), LnX3, LnX2, LnX1
a
ANOVA
Model
1
Sum of Squares
df
Mean Square
Regression
.595
3
.198
Residual
.098
21
.005
Total
.692
24
F
42.634
Sig.
.000
b
a. Dependent Variable: Pengembanagn Wilayah (Y)
b. Predictors: (Constant), LnX3, LnX2, LnX1
Universitas Sumatera Utara
98
Coefficients
a
Standardized
Unstandardized Coefficients
Model
1
B
Coefficients
Std. Error
Beta
(Constant)
.043
.122
LnX1
.130
.047
LnX2
.047
LnX3
.074
t
Sig.
.349
.730
.520
2.758
.012
.085
.096
.559
.048
.039
.453
1.915
.049
a. Dependent Variable: Pengembanagn Wilayah (Y)
X---Y
Model Summary
Model
R
1
.953
R Square
a
Adjusted R
Std. Error of the
Square
Estimate
.909
.905
.05247
a. Predictors: (Constant), LnX
a
ANOVA
Model
1
Sum of Squares
df
Mean Square
Regression
.629
1
.629
Residual
.063
23
.003
Total
.692
24
F
228.493
Sig.
.000
b
a. Dependent Variable: Pengembanagn Wilayah (Y)
Universitas Sumatera Utara
99
b. Predictors: (Constant), LnX
Coefficients
a
Standardized
Unstandardized Coefficients
Model
1
B
Std. Error
(Constant)
.473
.048
LnX
.277
.018
Coefficients
Beta
t
.953
Sig.
9.771
.000
15.116
.000
a. Dependent Variable: Pengembanagn Wilayah (Y)
Universitas Sumatera Utara
Explore
DESKRIPSI
Case Processing Summary
Cases
Valid
N
Total Tenaga Kerja (X1)
Missing
Percent
25
100.0%
N
Total
Percent
0
N
0.0%
Percent
25
100.0%
Descriptives
Statistic
Total Tenaga Kerja (X1)
Mean
95% Confidence Interval for
4.0012
Lower Bound
2.8656
Upper Bound
5.1368
Std. Error
.55023
Mean
5% Trimmed Mean
3.7853
Median
2.7400
Variance
Std. Deviation
7.569
2.75114
Minimum
1.28
Maximum
10.61
Range
9.33
Interquartile Range
3.95
Skewness
Kurtosis
1.084
.464
.583
.902
Universitas Sumatera Utara
88
Descriptives
Statistic
Total jarak kecamatan ke
Mean
4.0020
Std. Error
.29814
ota (X2)
95% Confidence Interval for
Lower Bound
3.3867
Upper Bound
4.6173
Mean
5% Trimmed Mean
3.9278
Median
4.0000
Variance
Std. Deviation
2.222
1.49071
Minimum
2.67
Maximum
6.67
Range
4.00
Interquartile Range
1.33
Skewness
.975
.464
-.328
.902
Kurtosis
Universitas Sumatera Utara
89
Descriptives
Statistic
Indeks aksesibilitas tenaga
Mean
7.7236
Std. Error
1.86796
kerja (X3)
95% Confidence Interval for
Lower Bound
3.8683
Upper Bound
11.5789
Mean
5% Trimmed Mean
6.6859
Median
3.0200
Variance
87.232
Std. Deviation
9.33979
Minimum
.87
Maximum
33.22
Range
32.35
Interquartile Range
6.89
Skewness
1.881
.464
Kurtosis
2.864
.902
Universitas Sumatera Utara
90
Descriptives
Statistic
Aksesibilitas (X)
Mean
95% Confidence Interval for
15.7268
Lower Bound
11.1333
Upper Bound
20.3203
Std. Error
2.22563
Mean
5% Trimmed Mean
14.5046
Median
13.9800
Variance
123.835
Std. Deviation
11.12814
Minimum
6.94
Maximum
46.50
Range
39.56
Interquartile Range
8.65
Skewness
1.849
.464
Kurtosis
3.144
.902
Universitas Sumatera Utara
91
Descriptives
Statistic
Pengembangan Wilayah (Y) Mean
95% Confidence Interval for
.2412
Lower Bound
.1711
Upper Bound
.3113
Std. Error
.03397
Mean
5% Trimmed Mean
.2224
Median
.2100
Variance
Std. Deviation
.029
.16984
Minimum
.11
Maximum
.71
Range
.60
Interquartile Range
.14
Skewness
1.851
.464
Kurtosis
3.122
.902
Universitas Sumatera Utara
92
UJI ASUMSI
UJI NORMALITAS
Universitas Sumatera Utara
93
UJI MULTIKOLINEARITAS
Coefficients
Model
1
a
Unstandardized
Standardized
Collinearity
Coefficients
Coefficients
Statistics
B
Std. Error
(Constant)
.043
.122
LnX1
.130
.047
LnX2
.047
LnX3
.074
Beta
t
Sig.
Tolerance
VIF
.349
.730
.520
2.758
.012
.189
4.292
.085
.096
.559
.582
.228
4.382
.039
.453
1.915
.069
.120
3.350
a. Dependent Variable: Pengembanagn Wilayah (Y)
Universitas Sumatera Utara
94
Regression
X1---Y
Model Summary
Model
R
1
.829
R Square
a
Adjusted R
Std. Error of the
Square
Estimate
.687
.673
.09708
a. Predictors: (Constant), LnX1
a
ANOVA
Model
1
Sum of Squares
df
Mean Square
Regression
.475
1
.475
Residual
.217
23
.009
Total
.692
24
F
Sig.
50.451
.000
b
a. Dependent Variable: Pengembanagn Wilayah (Y)
b. Predictors: (Constant), LnX1
Coefficients
a
Standardized
Unstandardized Coefficients
Model
1
B
Std. Error
(Constant)
.000
.039
LnX1
.207
.029
Coefficients
Beta
t
.829
Sig.
.004
.997
7.103
.000
a. Dependent Variable: Pengembanagn Wilayah (Y)
Universitas Sumatera Utara
95
X2---Y
Model Summary
Model
R
1
.349
R Square
a
Adjusted R
Std. Error of the
Square
Estimate
.122
.084
.16259
a. Predictors: (Constant), LnX2
a
ANOVA
Model
1
Sum of Squares
df
Mean Square
Regression
.084
1
.084
Residual
.608
23
.026
Total
.692
24
F
Sig.
3.187
.009
b
a. Dependent Variable: Pengembanagn Wilayah (Y)
b. Predictors: (Constant), LnX2
Coefficients
a
Standardized
Unstandardized Coefficients
Model
1
B
Std. Error
(Constant)
.469
.132
LnX2
.172
.096
Coefficients
Beta
t
.349
Sig.
3.560
.002
1.785
.009
a. Dependent Variable: Pengembanagn Wilayah (Y)
Universitas Sumatera Utara
96
X3---Y
Model Summary
Model
R
1
.870
R Square
a
Adjusted R
Std. Error of the
Square
Estimate
.757
.747
.08544
a. Predictors: (Constant), LnX3
a
ANOVA
Model
1
Sum of Squares
df
Mean Square
Regression
.524
1
.524
Residual
.168
23
.007
Total
.692
24
F
Sig.
71.831
.000
b
a. Dependent Variable: Pengembanagn Wilayah (Y)
b. Predictors: (Constant), LnX3
Coefficients
a
Standardized
Unstandardized Coefficients
Model
1
B
Std. Error
(Constant)
.030
.030
LnX3
.142
.017
Coefficients
Beta
t
.870
Sig.
1.005
.325
8.475
.000
Universitas Sumatera Utara
97
a. Dependent Variable: Pengembanagn Wilayah (Y)
X1,X2,X3---Y
Model Summary
Model
R
1
.927
R Square
a
Adjusted R
Std. Error of the
Square
Estimate
.859
.839
.06818
a. Predictors: (Constant), LnX3, LnX2, LnX1
a
ANOVA
Model
1
Sum of Squares
df
Mean Square
Regression
.595
3
.198
Residual
.098
21
.005
Total
.692
24
F
42.634
Sig.
.000
b
a. Dependent Variable: Pengembanagn Wilayah (Y)
b. Predictors: (Constant), LnX3, LnX2, LnX1
Universitas Sumatera Utara
98
Coefficients
a
Standardized
Unstandardized Coefficients
Model
1
B
Coefficients
Std. Error
Beta
(Constant)
.043
.122
LnX1
.130
.047
LnX2
.047
LnX3
.074
t
Sig.
.349
.730
.520
2.758
.012
.085
.096
.559
.048
.039
.453
1.915
.049
a. Dependent Variable: Pengembanagn Wilayah (Y)
X---Y
Model Summary
Model
R
1
.953
R Square
a
Adjusted R
Std. Error of the
Square
Estimate
.909
.905
.05247
a. Predictors: (Constant), LnX
a
ANOVA
Model
1
Sum of Squares
df
Mean Square
Regression
.629
1
.629
Residual
.063
23
.003
Total
.692
24
F
228.493
Sig.
.000
b
a. Dependent Variable: Pengembanagn Wilayah (Y)
Universitas Sumatera Utara
99
b. Predictors: (Constant), LnX
Coefficients
a
Standardized
Unstandardized Coefficients
Model
1
B
Std. Error
(Constant)
.473
.048
LnX
.277
.018
Coefficients
Beta
t
.953
Sig.
9.771
.000
15.116
.000
a. Dependent Variable: Pengembanagn Wilayah (Y)
Universitas Sumatera Utara