|
x
|
y
|
x^
|
y^
|
xy
|
|
7
|
6
|
49
|
36
|
42
|
|
6
|
5
|
36
|
25
|
30
|
|
7
|
7
|
49
|
49
|
49
|
|
8
|
7
|
64
|
49
|
56
|
|
5
|
5
|
25
|
25
|
25
|
|
6
|
6
|
36
|
36
|
36
|
|
7
|
6
|
49
|
36
|
42
|
|
8
|
8
|
64
|
64
|
64
|
|
54
|
50
|
372
|
320
|
344
|
|
Model
Summary
|
||||
|
Model
|
R
|
R Square
|
Adjusted
R Square
|
Std.
Error of the Estimate
|
|
1
|
,867a
|
,751
|
,710
|
,55777
|
|
a. Predictors: (Constant), variabelbebas
|
||||
Koefisien korelasi > 0,8
berarti memiliki korelasi/hubungan yang kuat
|
ANOVAa
|
||||||
|
Model
|
Sum of
Squares
|
df
|
Mean
Square
|
F
|
Sig.
|
|
|
1
|
Regression
|
5,633
|
1
|
5,633
|
18,107
|
,005b
|
|
Residual
|
1,867
|
6
|
,311
|
|
|
|
|
Total
|
7,500
|
7
|
|
|
|
|
|
a. Dependent Variable: variabelterikat
|
||||||
|
b. Predictors: (Constant), variabelbebas
|
||||||
Sig < α berarti kesimpulannya
H0 ditolak
y = 0,4 + 0,86x merupakan
persamaan yang signifikan untuk memprediksi besarnya variabel y berdasarkan x
|
Coefficientsa
|
||||||||
|
Model
|
Unstandardized
Coefficients
|
Standardized
Coefficients
|
t
|
Sig.
|
Collinearity
Statistics
|
|||
|
B
|
Std.
Error
|
Beta
|
Tolerance
|
VIF
|
||||
|
1
|
(Constant)
|
,400
|
1,389
|
|
,288
|
,783
|
|
|
|
variabelbebas
|
,867
|
,204
|
,867
|
4,255
|
,005
|
1,000
|
1,000
|
|
|
a. Dependent Variable: variabelterikat
|
||||||||
a.
Sig>α
maka H0 diterima
b.
Sig<α
maka H0 ditolak
|
Collinearity
Diagnosticsa
|
|||||
|
Model
|
Dimension
|
Eigenvalue
|
Condition
Index
|
Variance
Proportions
|
|
|
(Constant)
|
variabelbebas
|
||||
|
1
|
1
|
1,990
|
1,000
|
,01
|
,01
|
|
2
|
,010
|
14,014
|
,99
|
,99
|
|
|
a. Dependent Variable: variabelterikat
|
|||||
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