189
1. Uji Normalitas
One-Sample Kolmogorov-Smirnov Test
x1 x2
y N
62 62
62 Normal Parameters
a,b
Mean 35.45
42.79 85.19
Std. Deviation 4.206
9.815 4.470
Most Extreme Differences Absolute
.172 .154
.155 Positive
.172 .127
.089 Negative
-.093 -.154
-.155 Kolmogorov-Smirnov Z
1.351 1.209
1.218 Asymp. Sig. 2-tailed
.052 .107
.103 a. Test distribution is Normal.
b. Calculated from data.
2. Uji Multikolinearitas
Coefficients
a
Model Unstandardized Coefficients
Standardized Coefficients
t Sig.
Collinearity Statistics B
Std. Error Beta
Tolerance VIF
1 Constant
69.919 4.772
14.653 .000
x1 .265
.127 .249
2.086 .041
.976 1.024
x2 .137
.054 .301
2.519 .015
.976 1.024
a. Dependent Variable: y
3. Uji Linearitas
a. Keprofesionalan Guru Sertifikasi Prestasi Belajar Siswa X
1
Y
Case Processing Summary
Cases Included
Excluded Total
N Percent
N Percent
N Percent
x1 y 62
100.0 0.0
62 100.0
190
ANOVA Table
Sum of Squares df
Mean Square F
Sig.
x1 y Between
Groups Combined
715.022 38
18.816 1.188
.336 Linearity
94.475 1
94.475 5.964
.023 Deviation
from Linearity 620.546
37 16.772
1.059 .452
Within Groups 364.333
23 15.841
Total 1079.355
61
Measures of Association
R R Squared
Eta Eta Squared
x1 y .296
.088 .814
.662
b. Metode Mengajar Guru Sertifikasi Prestasi Belajar Siswa X
2
Y
Case Processing Summary
Cases Included
Excluded Total
N Percent
N Percent
N Percent
x2 y 62
100.0 0.0
62 100.0
ANOVA Table
Sum of Squares df
Mean Square F
Sig.
x2 y Between Groups
Combined 4410.191
38 116.058
1.821 .065
Linearity 677.916
1 677.916
10.635 .003
Deviation from
Linearity 3732.275
37 100.872
1.582 .124
Within Groups 1466.083
23 63.743
Total 5876.274
61
Measures of Association
R R Squared
Eta Eta Squared
x2 y .340
.115 .866
.751
191
LAMPIRAN VIII
Hasil Analisis
192
1. Uji Hipotesis 1
Variables EnteredRemoved
a
Model Variables
Entered Variables
Removed Method
1 x1
b
. Enter a. Dependent Variable: y
b. All requested variables entered.
Model Summary
Model R
R Square Adjusted R
Square Std. Error of the
Estimate 1
.296
a
.088 .072
4.305 a. Predictors: Constant, x1
ANOVA
a
Model Sum of Squares
df Mean Square
F Sig.
1 Regression
106.665 1
106.665 5.756
.020
b
Residual 1111.952
60 18.533
Total 1218.617
61 a. Dependent Variable: y
b. Predictors: Constant, x1
Coefficients
a
Model Unstandardized Coefficients
Standardized Coefficients
t Sig.
B Std. Error
Beta 1
Constant 74.041
4.677 15.829
.000 x1
.314 .131
.296 2.399
.020 a. Dependent Variable: y
193
2. Uji Hipotesis 2