Lampiran 1
DATA HASIL PENELITIAN
N o.
Tah
un APBDK PpK
RL S
AK B (Y1
)
A KI (Y
2)
1. 2010 50.622.871.3 14
97.831,6 1
7,0 5
56 17
2. 2011 96.972.696.1 07
200.255, 19
7,1 5
41 13
3. 2012 220.804.190. 383
444.498 7,2 5
79 19
4. 2013 242.905.290. 565
645.465 7.3 6
85 15
5. 2014 265.875.345. 258
456.325 7.8 6
Lampiran 2
Analisis Regresi AKB vs APBDK, PpK dan RLS
Variables Entered/Removedb
Model Variabels Entered
Variables
Removed Method
1 RLS,
APBDK, PpK
- Enter
a. All requested variables entered b. Dependent Variable: AKB
Model Summary
Model R R.
Square
Adjusted R Square
Std. Errof of the Estimate
1 .999a .999 .995 1.84720
a. Predisctors: (Constant), RLS, APBDK, PpK
ANOVAb
Model Sum of
Squares
d f
Mean Square
F Sig.
1 Regressio n
Residual
2643.78 8 3.412
3 1 4
881.26 3 3.412
258.27 3
a. Predictors : (Constant), RLS, APBDK, PpK b. Dependent Variable : AKB
Coefficientsa
Model
Unstandardized Coefficents
Unstandard
Lampiran 3
Analisis Regresi AKI vs APBDK, PpK dan RLS
Variables Entered/Removedb
Model Variabels Entered
Variables
Removed Method
1 RLS,
APBDK, PpK
- Enter
a. All requested variables entered b. Dependent Variable: AKI
Model Summary
Model R R.
Square
Adjusted R Square
Std. Errof of the Estimate
1 .999a .999 .996 .37271
a. Predisctors: (Constant), RLS, APBDK, PpK
ANOVAb
Model Sum of
Squares d f
Mean Squar
e
F Sig.
1 Regressio n
135.06 1
3 1
45.02 0
324.08 3
a. Predictors : (Constant), RLS, APBDK, PpK b. Dependent Variable : AKI
Coefficientsa
Model
Unstandardized Coefficents
Unstandardi
