Analisis Pengaruh Aksesibilitas Terhadap Pengembangan Wilayah Kota Binjai

87

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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