Predictors: (Constant), NPF, KEP_INST, KOM_ADT, FREK_RPT, PROP_KOM b

(1)

Variables Entered/Removed^a

Model

Variables Entered

Variables

Removed Method

1 NPF,

KEP_INST, KOM_ADT, FREK_RPT, PROP_KOM^b

. Enter

a. Dependent Variable: PBS b. All requested variables entered.

Descriptive Statistics

N Minimum Maximum Mean Std. Deviation

KEP_INST 41 90.31 100.00 98.7885 2.53442

FREK_RPT 41 3.00 36.00 15.3902 8.80874

PROP_KOM 41 50.00 100.00 65.4893 12.49038

KOM_ADT 41 2.00 8.00 3.7317 1.36060

NPF 41 .00 4.85 2.7341 1.61517

PBS 41 -2.36 2.63 .6205 1.05213

Valid N (listwise) 41

Model Summary^b

Model R R Square

Adjusted R Square

Std. Error of the Estimate

1 .567^a .322 .225 .92631

a. Predictors: (Constant), NPF, KEP_INST, KOM_ADT, FREK_RPT, PROP_KOM

b. Dependent Variable: PBS

(2)

Coefficients^a

Model

Unstandardized Coefficients

Standardized Coefficients

t Sig.

B Std. Error Beta

1 (Constant) .733 6.076 .121 .905

KEP_INST -.009 .065 -.021 -.133 .895

FREK_RPT .045 .018 .374 2.536 .016

PROP_KOM .009 .013 .113 .723 .475

KOM_ADT .065 .113 .084 .577 .568

NPF -.295 .094 -.453 -3.123 .004

a. Dependent Variable: PBS

Residuals Statistics^a

Minimum Maximum Mean Std. Deviation N

Predicted Value -.4615 1.8059 .6205 .59681 41

Residual -2.00125 2.51992 .00000 .86649 41

Std. Predicted Value -1.813 1.986 .000 1.000 41

Std. Residual -2.160 2.720 .000 .935 41

One-Sample Kolmogorov-Smirnov Test

Unstandardized Residual

N 41

Normal Parameters^a,b Mean .0000000

Std. Deviation .86648605 Most Extreme Differences Absolute .137

Positive .129

Negative -.137

Test Statistic .137

Asymp. Sig. (2-tailed) .052^c

(3)

a. Test distribution is Normal.

b. Calculated from data.

c. Lilliefors Significance Correction.

Model Summary

Model R R Square Adjusted R

Square

1 .567^a .322 .225 .92631

a. Predictors: (Constant), NPF, KEP_INST, KOM_ADT, FREK_RPT, PROP_KOM

ANOVA^a

Model Sum of Squares df Mean Square F Sig.

1

Regression 14.247 5 2.849 3.321 .015^b

Residual 30.032 35 .858

Total 44.279 40

b. Predictors: (Constant), NPF, KEP_INST, KOM_ADT, FREK_RPT, PROP_KOM

Coefficients^a Model Unstandardized Coefficients Standardized

Coefficients

t Sig. Collinearity Statistics

B Std. Error Beta Tolerance VIF

1

(Constant) .733 6.076 .121 .905

KEP_INST -.009 .065 -.021 -.133 .895 .780 1.282

FREK_RPT .045 .018 .374 2.536 .016 .890 1.123

PROP_KOM .009 .013 .113 .723 .475 .796 1.256

KOM_ADT .065 .113 .084 .577 .568 .904 1.106

NPF -.295 .094 -.453 -3.123 .004 .921 1.085

(4)

Coefficient Correlations^a

Model NPF KEP_INST KOM_ADT FREK_RPT PROP_KOM

1

Correlations

NPF 1.000 .123 -.147 -.057 -.258

KEP_INST .123 1.000 -.224 -.266 -.381

KOM_ADT -.147 -.224 1.000 -.093 .158

FREK_RPT -.057 -.266 -.093 1.000 .199

PROP_KOM -.258 -.381 .158 .199 1.000

Covariances

NPF .009 .001 -.002 -9.467E-005 .000

KEP_INST .001 .004 -.002 .000 .000

KOM_ADT -.002 -.002 .013 .000 .000

FREK_RPT -9.467E-005 .000 .000 .000 4.598E-005

PROP_KOM .000 .000 .000 4.598E-005 .000

Collinearity Diagnostics^a

Model Dimension Eigenvalue Condition Index Variance Proportions

(Constant) KEP_INST FREK_RPT PROP_KOM KOM_ADT

1

1 5.471 1.000 .00 .00 .01 .00

2 .246 4.716 .00 .00 .42 .00

3 .171 5.660 .00 .00 .46 .01

4 .093 7.684 .00 .00 .01 .04

5 .019 16.973 .01 .00 .04 .83

6 .000 143.111 .99 1.00 .06 .11