d. Linieritas X4 dengan Y
LAMPIRAN 10. UJI MULTIKOLONIERITAS
Report
Y 2.1100
1 .
2.1833 3
.06351 2.6667
3 .29670
2.5838 8
.34105 2.6044
9 .28000
2.8939 28
.38110 3.1733
9 .52552
3.4150 4
.45669 3.2640
5 .06025
3.1440 10
.46337 3.0000
3 .39661
3.4600 14
.41805 2.9816
97 .49578
X4 2.00
2.17 2.50
2.67 2.83
3.00 3.17
3.33 3.50
3.67 3.83
4.00 Total
Mean N
St d. Dev iation
ANOVA Table
10.680 11
.971 6.390
.000 8.747
1 8.747
57.568 .000
1.933 10
.193 1.272
.259 12.916
85 .152
23.596 96
Combined Linearity
Dev iation f rom Linearity Between
Groups
Within Groups Total
Y X4 Sum of
Squares df
Mean Square F
Sig.
Measures of Associ ation
.609 .371
.673 .453
Y X4 R
R Squared Et a
Et a Squared
Coeffici ents
a
.829 .331
2.507 .014
.229 .099
.215 2.318
.023 .567
1.762 .219
.099 .233
2.213 .029
.443 2.257
-.116 .049
-.185 -2.357
.021 .794
1.259 .338
.095 .338
3.546 .001
.537 1.861
Constant X1
X2 X3
X4 Model
1 B
Std. Error Unstandardized
Coef f icients Beta
Standardized Coef f icients
t Sig.
Tolerance VIF
Collinearity Statistics
Dependent Variable: Y a.
LAMPIRAN 11. UJI HETEROSKEDASTISITAS
Variabl es EnteredRemoved
b
X4, X3, X1, X2
a
. Enter
Model 1
Variables Entered
Variables Remov ed
Method All requested v ariables entered.
a. Dependent Variable: ABS_RES
b.
Model Summary
.267
a
.071 .031
.65472 Model
1 R
R Square Adjusted
R Square St d. Error of
the Estimate Predictors: Constant, X4, X3, X1, X2
a.
ANOVA
b
3.025 4
.756 1.764
.143
a
39.436 92
.429 42.462
96 Regression
Residual Total
Model 1
Sum of Squares
df Mean Square
F Sig.
Predictors: Const ant, X4, X3, X1, X2 a.
Dependent Variable: ABS_RES b.
Coeffi ci ents
a
-.310 .637
-.486 .628
.234 .191
.163 1.224
.224 .036
.191 .029
.189 .851
-.056 .095
-.066 -.585
.560 .113
.184 .084
.612 .542
Constant X1
X2 X3
X4 Model
1 B
St d. Error Unstandardized
Coef f icients Beta
St andardized Coef f icients
t Sig.
Dependent Variable: ABS_RES a.
LAMPIRAN 12. HASIL REGRESI LINIER SEDERHANA a.
Pengaruh Persepsi Kemudahan Terhadap Minat Menggunakan Rekening Ponsel
Variabl es EnteredRemoved
b
X1
a
. Enter
Model 1
Variables Entered
Variables Remov ed
Method All requested v ariables entered.
a. Dependent Variable: Y
b.
Model Summary
.584
a
.341 .334
.40461 Model
1 R
R Square Adjusted
R Square St d. Error of
the Estimate Predictors: Constant, X1
a.
ANOVA
b
8.044 1
8.044 49.136
.000
a
15.552 95
.164 23.596
96 Regression
Residual Total
Model 1
Sum of Squares
df Mean Square
F Sig.
Predictors: Const ant, X1 a.
Dependent Variable: Y b.
Coeffi ci ents
a
1.164 .262
4.436 .000
.623 .089
.584 7.010
.000 Constant
X1 Model
1 B
St d. Error Unstandardized
Coef f icients Beta
St andardized Coef f icients
t Sig.
Dependent Variable: Y a.