DATASET ACTIVATE DataSet1.
DATASET CLOSE DataSet2.
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA COLLIN TOL CHANGE /CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT TOTALY
/METHOD=ENTER TOTALX1 TOTALX2 TOTALX3 /SCATTERPLOT=(*SRESID ,*ZPRED)
/RESIDUALS DURBIN HISTOGRAM(ZRESID) NORMPROB(ZRESID) /SAVE RESID.
Regression
Variables Entered/Removed
aModel
Variables Entered
Variables
Removed Method
1 X3
KEPUASAN KERJA, X1 KETERIKATA N KERJA, X2 KUALITAS KEHIDUPAN KERJAb
. Enter
Dependent Variable: Y KINERJA PEGAWAI HONORER SEKERTARIAT DPRD KOTA GUNUNGSITOLI a.
All requested variables entered.
b.
Model Summary
bModel R R Square
Adjusted R Square
Std. Error of the Estimate
Change Statistics R Square
Change F Change df1
1 .778a .605 .573 2.53301 .605 19.377 3
Model Summary
bModel
Change Statistics
Durbin-Watson df2 Sig. F Change
Predictors: (Constant), X3 KEPUASAN KERJA, X1 KETERIKATAN KERJA, X2 KUALITAS KEHIDUPAN KERJA
a.
Dependent Variable: Y KINERJA PEGAWAI HONORER SEKERTARIAT DPRD KOTA GUNUNGSITOLI b.
ANOVA
aModel
Sum of
Squares df Mean Square F Sig.
1 Regression Residual Total
372.973 3 124.324 19.377 .000b
243.813 38 6.416
616.786 41
Dependent Variable: Y KINERJA PEGAWAI HONORER SEKERTARIAT DPRD KOTA GUNUNGSITOLI a.
Predictors: (Constant), X3 KEPUASAN KERJA, X1 KETERIKATAN KERJA, X2 KUALITAS KEHIDUPAN KERJA
b.
Coefficients
aModel
Unstandardized Coefficients
Standardized Coefficients
t Sig.
B Std. Error Beta
1 (Constant)
X1 KETERIKATAN KERJA X2 KUALITAS KEHIDUPAN KERJA
X3 KEPUASAN KERJA
5.511 6.274 .878 .385
.703 .203 .653 3.456 .001
.154 .267 .141 .577 .567
.003 .181 .004 .018 .986
Coefficients
aModel
Collinearity Statistics Tolerance VIF 1 (Constant)
X1 KETERIKATAN KERJA X2 KUALITAS KEHIDUPAN KERJA
X3 KEPUASAN KERJA
.292 3.429 .174 5.743
.249 4.019
Dependent Variable: Y KINERJA PEGAWAI HONORER SEKERTARIAT DPRD KOTA GUNUNGSITOLI a.
Collinearity Diagnostics
aModel Dimension Eigenvalue Condition Index
Variance Proportions
(Constant)
X1 KETERIKATAN
KERJA
X2 KUALITAS KEHIDUPAN
KERJA
1 1
2 3 4
3.995 1.000 .00 .00 .00
.003 33.948 .77 .00 .01
.001 58.039 .19 .61 .00
.001 87.061 .04 .38 .99
Collinearity Diagnostics
aModel Dimension
Variance ...
X3 KEPUASAN KERJA
1 1
2 3 4
.00 .12 .48 .40
Dependent Variable: Y KINERJA PEGAWAI HONORER SEKERTARIAT DPRD KOTA GUNUNGSITOLI a.
Residuals Statistics
aMinimum Maximum Mean Std. Deviation N Predicted Value
Std. Predicted Value Standard Error of Predicted Value
Adjusted Predicted Value Residual
Std. Residual Stud. Residual Deleted Residual Stud. Deleted Residual Mahal. Distance Cook's Distance
Centered Leverage Value
44.2009 56.9405 51.9286 3.01611 42
-2.562 1.662 .000 1.000 42
.401 1.378 .750 .222 42
44.2475 56.9702 51.8919 3.07838 42
-7.79145 3.63245 .00000 2.43858 42
-3.076 1.434 .000 .963 42
-3.175 1.605 .006 1.012 42
-8.30226 4.84680 .03668 2.70453 42
-3.655 1.641 -.009 1.065 42
.052 11.163 2.929 2.416 42
.000 .271 .028 .054 42
.001 .272 .071 .059 42
Charts
Regression Standardized Residual
2 1
0 -1
-2 -3
-4
Frequency
10
8
6
4
2
0
Histogram
Dependent Variable: Y KINERJA PEGAWAI HONORER SEKERTARIAT DPRD KOTA GUNUNGSITOLI
Mean = 1.33E-15 Std. Dev. = 0.963 N = 42
Observed Cum Prob
1.0 0.8
0.6 0.4
0.2 0.0
Expected Cum Prob
1.0
0.8
0.6
0.4
0.2
0.0
Normal P-P Plot of Regression Standardized Residual
Dependent Variable: Y KINERJA PEGAWAI HONORER SEKERTARIAT DPRD KOTA GUNUNGSITOLI
Regression Standardized Predicted Value
2 1
0 -1
-2 -3
Regression Studentized Residual
2
1
0
-1
-2
-3
-4
Scatterplot
Dependent Variable: Y KINERJA PEGAWAI HONORER SEKERTARIAT DPRD KOTA GUNUNGSITOLI
NPAR TESTS
/K-S(NORMAL)=RES_1 /MISSING ANALYSIS.
NPar Tests
One-Sample Kolmogorov-Smirnov Test
Unstandardized Residual N
Normal Parametersa,b Mean Std. Deviation Most Extreme Differences Absolute
Positive Negative Test Statistic
Asymp. Sig. (2-tailed)
42 .0000000 2.43857706 .119 .069 -.119 .119 .144c Test distribution is Normal.
a.
Calculated from data.
b.
Lilliefors Significance Correction.
c.
