147
LAMPIRAN 4 UJI PRASYARAT
A. NORMALITAS B. LINEARITAS
C. HOMOGENITAS D. MULTIKOLINEARITAS
148
A. NORMALITAS
One-Sample Kolmogorov-Smirnov Test
Pengetahuan_K 3
Sarana_Prasara na
Karakter_Siswa _K3
N 58
58 58
Normal Parameters
a,b
Mean 54,6379
64,4310 54,2759
Std. Deviation 5,89290
7,07135 7,06062
Most Extreme Differences Absolute
,095 ,073
,076 Positive
,095 ,068
,056 Negative
-,064 -,073
-,076 Test Statistic
,095 ,073
,076 Asymp. Sig. 2-tailed
,200
c,d
,200
c,d
,200
c,d
a. Test distribution is Normal. b. Calculated from data.
c. Lilliefors Significance Correction. d. This is a lower bound of the true significance.
B. LINEARITAS
ANOVA Table
Sum of Squares
df Mean
Square F
Sig. Karakter_Siswa
_K3 Pengetahuan_
K3 Between
Groups Combined
831,470 19
43,762 ,827 ,664
Linearity 82,782
1 82,782
1,565 ,219 Deviation
from Linearity
748,688 18
41,594 ,786 ,702
Within Groups 2010,117
38 52,898
Total 2841,586
57
ANOVA Table
Sum of Squares
df Mean
Square F
Sig. Karakter_Siswa
_K3 Between
Groups Combined
1616,053 20
80,803 2,440 ,009
Linearity 858,325
1 858,325
25,914 ,000
149
Sarana_Prasar ana
Deviation from
Linearity 757,728
19 39,880
1,204 ,306 Within Groups
1225,533 37
33,123 Total
2841,586 57
C. UJI HOMOGENITAS C.1 Pengetahuan K3
Test of Homogeneity of Variances
Karakter_Siswa_K3 Levene Statistic
df1 df2
Sig. 1,874
15 38
,059
C.2 Sarana Prasarana
Test of Homogeneity of Variances
Karakter_Siswa_K3 Levene Statistic
df1 df2
Sig. 1,897
15 37
,057
D. MULTIKOLINEARITAS
Variables EnteredRemoved
a
Model Variables Entered
Variables Removed
Method 1
Sarana_Prasarana, Pengetahuan_K3
b
. Enter a. Dependent Variable: Karakter_Siswa_K3
b. All requested variables entered.
Coefficients
a
Model Unstandardized
Coefficients Standardized
Coefficients t
Sig. Collinearity Statistics
B Std. Error
Beta Tolerance
VIF 1 Constant
24,110 8,287
2,909 ,005
Pengetahuan_K3 -,197
,157 -,164
-1,258 ,214
,723 1,384
Sarana_Prasarana ,635
,130 ,636
4,869 ,000
,723 1,384
a. Dependent Variable: Karakter_Siswa_K3
150
LAMPIRAN 5 1. Uji hipotesis X1-Y
2. Uji Hipotesis X2-Y 3. Uji Hipotesis X1,X2 - Y