145
Lampiran 7 UJI ASUMSI KLASIK
1. UJI NORMALITAS
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One-Sample Kolmogorov-Smirnov Test
Unstandardize d Residual
N 55
Normal Parameters
a,b
Mean 0E-7
Std. Deviation 4,65811330
Most Extreme Differences Absolute
,059 Positive
,059 Negative
-,049 Kolmogorov-Smirnov Z
,438 Asymp. Sig. 2-tailed
,991 a. Test distribution is Normal.
b. Calculated from data.
2. UJI HETEROSKEDASTISITAS
Hasil Uji Glejser
Coefficients
a
Model Unstandardized Coefficients
Standardized Coefficients
t Sig.
B Std. Error
Beta 1
Constant 5,159
4,291 1,202
,235 Kepuasan Kerja
,019 ,069
,042 ,273
,786 Stres Kerja
-,060 ,062
-,148 -,972
,336 a. Dependent Variable: absut
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3. UJI MULTIKOLINEARITAS Uji Multikolinearitas
Coefficients
a
Model Unstandardized Coefficients
Standardized Coefficients
t Sig.
Collinearity Statistics B
Std. Error Beta
Tolerance VIF
1 Constant
34,923 7,568
4,615 ,000
Kepuasan Kerja -,532
,122 -,387
-4,359 ,000
,801 1,249
Stres Kerja ,705
,110 ,570
6,427 ,000
,801 1,249
a. Dependent Variable: Turnover Intention
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Lampiran 8 UJI REGRESI LINIER BERGANDA
Uji Regresi Linier Berganda
Coefficients
a
Model Unstandardized Coefficients
Standardized Coefficients
t Sig.
B Std. Error
Beta 1
Constant 34,923
7,568 4,615
,000 Kepuasan Kerja
-,532 ,122
-,387 -4,359
,000 Stres Kerja
,705 ,110
,570 6,427
,000 a. Dependent Variable: Turnover Intention
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Lampiran 9 UJI HIPOTESIS
1. Uji Simultan Uji F Hasil Uji Simultan Uji F
ANOVA
a
Model Sum of
Squares df
Mean Square F
Sig.
1 Regression
2399,943 2
1199,972 53,255
,000
b
Residual 1171,693
52 22,533
Total 3571,636
54 a. Dependent Variable: Turnover Intention
b. Predictors: Constant, Stres Kerja, Kepuasan Kerja
2. Uji Parsial Uji t Hasil Uji Parsial Uji t
Coefficients
a
Model Unstandardized Coefficients
Standardized Coefficients
t Sig.
B Std. Error
Beta 1
Constant 34,923
7,568 4,615
,000 Kepuasan Kerja
-,532 ,122
-,387 -4,359
,000 Stres Kerja
,705 ,110
,570 6,427
,000 a. Dependent Variable: Turnover Intention
3. Uji Koefisien Determinasi R