Lampiran 2. Hipotesis Pertama
Model Summary(b)
Adjusted R Std. Error of the
Model R R Square Square Estimate Durbin-Watson
1 _ ,719(a) ,518 ,507 1,979 1,928
a Predictors: (Constant), K.Mds, K.Hkm b Dependent Variable: Perilaku
ANOVA(b)
Model
a Predictors: (Constant), K.Mds, K.Hkm b Dependent Variable: Perilaku
Coefficients(a)
Model
Unstandardized Coefficients
Standardized Coefficients
t Sig.
Collinearity Statistics
B Std. Error
Beta Tolerance V1F
(Constant) K.Hkm
a Dependent Variable: Perilaku
Collinearity Diagnostics(a)
Model Dimension
Eigenvalue Condition Index (Constant)
K.Hkm Variance
(Constant)
Proportions K.Hkm
2 0 —
1 5 —
- 2 0
R e g r e ssi o n S t a n d a r d i z e d R
Residuals Statistics(a)
Minimum Maximum Mean Std. Deviation N
11,15 19,77 15,20 2,028 95
-4,987 4,930 ,000 1,958 95
-1,996 2,254 ,000 1,000 95
-2,520 2,490 ,000 ,989 95
Histogram
Dependent Variable: Perilaku
Normal P-P Plot of Regression Standardized Residual
Dependent Variable: Perilaku
0.0 0.2 0_4 0.6 0 0
Lampiran 3. Hipotesis Kedua
Variables Entered/Removed(b)
a All requested variables entered. b Dependent Variable: K.Hkm
Model Summary(b)
Model Adjusted R Std. Error of the
R R Square Square Estimate Durbin-Watson
1 ,710(a) ,504 ,493 1,574 2,309
a Predictors: (Constant), B.Hkm, P.1-11cm b Dependent Variable: K.Hkm
ANOVA(b)
Model
Sum of
Squares df
Mean
Square F Sig.
1 Regression 231,716 2 115,858 46,769 ,000(a)
Residual 227,905 92 2,477
Total 459,621 94
a Predictors: (Constant); Bacm; P.Hkm b Dependent Variable: K.Hkm
Coefficients(a)
Unstandardized Coefficients
Standardized Coefficients
Collinearity Statistics Tolerance VIF
Model B Std. Error Beta t Sig.
1 (Constant) 4,903 1,068 4,590 ,000
P.Hkm ,355 ,065 ,419 5,479 ,000 ,920 1,078
B.Hkm ,368 ,060 ,467 6,097 ,000 ,920 1,078
a Dependent Variable: K.Hkm
Variables Entered
Variables Removed
Model Method
1 B Hkm
Collinearity Diagnostics(a)
Model Dimension Eigenvalue
Condition
Index Variance Proportions
(Constant) P.Hkm B.Hkm (Constant) P.Hkm
1 2,959 1,000 ,00 ,00 ,00
2 ,026 10,604 ,02 ,46 ,81
3 ,015 14,023 ,98 ,55 ,18
a Dependent Variable: K.Hkm
Residuals Statistics(a)
Minimum Maximum Mean Std. Deviation N :
Predicted Value 11,76 18,99 15,06 1,570 95
Residual -5,101 5,145 ,000 1,557 95
Std. Predicted Value -2,101 2,503 ,000 1,000 95
Std. Residual -3,249 3,269 ,000 ,989 95
a Dependent Variable: K.Hkm
Histogram
De p e n d a n t Va r i a b le : K . H km
Mears =-3.82E-17E. Std. Dav_ =0.9890
N =95
N o r m a l P - P P l o t of Re g r e s s i on S t a n d a r d i z e d R e s i d u a l
De p en de n t Va ria ble : K. H km
0.0 0.2 0.4 0.6 0 a 1.0
Observed Cum Prob
Scatterplot
De p e n d e n t Va r i a b l e : K . H km
2 0-
0 CI 0 0 0 0 0
18— 0 0 0 0 0
0 0 C I D 0
16— 0 0 0 0 0 Cla 0
-.1q 0 a 0 a a a
14— 0 0 0 0 0 0
hd 0 o aur 0. 0 co OD 0
12— 0 0 0 0 0
0 0
10—
0
a
--3 -1 0 1 2
Lampiran 4. Hipotesis Ketiga
Variables Entered/Removed(b)
Model
Variables Entered
Variables
Removed Method
1 Konseling,
P.Mds(a) E n t e r •
a All requested variables entered.
b Dependent Variable: K.Mds
Model Summary(b)
Model
R .
R Square
Adjusted R Square
Std. Error of the
EstiMate DUrbin-Watson
R Square Change
1 ,717(a) ,514 ,503 1,558 2,123
a Predictors: (Constant), Konseling, P Mds b Dependent Variable: K.Mds
ANOVA(b)
Model Sum of Squares df Mean Square F Sig.
1 Regression 236,182 2 118,091 48,623 ,000(a)
Residual 223,440 92 2,429
Total 459,621 94
a Predictors: (Constant), Konseling, P.Mds h Dependent Variable: K.Mds
Coefficients(a)
Model Unstandardized
Coefficients
Standardized Coefficients
t Sig.
Collinearity Statistics
B Error Std. Beta Tolerance VIF
1 (Constant) 5,519 ,982 5,620 ,000
P.Mds ,397 ,070 ,489 5,700 ,000 ,718 1,394
Konseling ,254 ,067 ,325 3,786 ,000 ,718 1,394
Collinearity Diagnostics(a)
Model Dimension Eigenvalue
Condition
Index Variance
Proportion
s (Constant) P.Mds
(Constant) P.Mds Konseling
1 1
2 3
2,966 ,019 ,015
1,000 12,608 13,856
,00 ,71 ,29
,00 ,00 1,00
,00 ,71 ,28
a Dependent Variable: K.Mds
Residuals Statistics(a)
Minimum Maximum Mean Std. Deviation N
Predicted Value 11,78 18,54 15,06 1,585 95
Residual -5,143 4,160 ,000 1,542 95
Std. Predicted Value -2,074 2,193 ,000 1,000 95
Std. Residual -3,300 2,669 ,000 ,989 95
a Dependent Variable: K.Mds
Histogram
D e p e n d e n t Va r i a b l e : K . M d s
-4 -2 0 2
