Hasil Pengolahan Data dengan SPSS Lampiran 33
1. Statistic Descriptive
Descriptive Statistics
N Minimum
Maximum Mean
Std. Deviation ln_y
215 3.91
13.96 7.9338
2.20539 ln_x1
215 3.04
8.66 5.3337
.70020 ln_x2
215 -2.30
1.11 -.4744
.73633 ln_x3
215 -3.00
4.27 2.0391
1.23562 ln_x4
215 .89
6.41 2.7444
.78689 ln_x5
215 .00
6.94 5.7408
.40456 Valid N listwise
215
2. Uji Normalitas dengan Uji Kolmogorov-Smirnov
Unstandardiz ed Residual
N 215
Normal Parameters
a,b
Mean .0000000
Std. Deviation
1.56236951 Most Extreme Differences
Absolute 0.074
Positive 0.074
Negative -0.043
Kolmogorov-Smirnov Z 1.078
Asymp. Sig. 2-tailed 0.195
a. Test distribution is Normal. b. Calculated from data.
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3. Uji Heteroskedastisitas
Coefficients
a
Model Unstandardized
Coefficients Standardi
zed Coefficie
nts T
Sig.
B Std. Error
Beta 1
Constant -.455
1.071 -.424
.672
ln_x1 .030
.125 .025
.241
.810
ln_x2 -.007
.120 -.006
-.061 .952
ln_x3 .087
.050 .130
1.734
.084
ln_x4 -.009
.077 -.008
-.116 .908
ln_x5 .254
.142 .124
1.787
.075
a. Dependent Variable: ABS_RES
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4.
Uji Autokorelasi
Model Summary
b
Model R
R Square Adjusted R
Square Std. Error of the
Estimate Durbin-Watson
1 .706
a
.498 .486
1.58095 1.855
5. Uji Multikolinieritas
6. Uji t
Coefficients
a
Model Unstandardized
Coefficients Standardize
d Coefficients
T Sig.
B Std. Error
Beta 1
Constant 4.619
2.049 2.255
.025 ln_x1
.059 .240
.019 .247
.805 ln_x2
.174 .230
.058 .758
.449 ln_x3
1.315 .096
.737 13.650
.000 ln_x4
.939 .147
.335 6.397
.000 ln_x5
-.379 .272
-.070 -1.395
.164 a. Dependent Variable: ln_y
Coefficients
a
Model Unstandardized
Coefficients Standardized
Coefficients t
Sig. Collinearity Statistic
B Std. Error
Beta Tolerance
V
1 Constant
4.619 2.049
2.255 .025
ln_x1 .059
.240 .019
.247 .805
.414 2.
ln_x2 .174
.230 .058
.758 .449
.408 2.
ln_x3 1.315
.096 .737
13.65 .000
.824 1.
ln_x4 .939
.147 .335
6.397 .000
.876 1.
ln_x5 -.379
.272 -.070
-1.395 .164
.967 1.
a. Dependent Variable: ln_y
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7. Uji F
Kategori