38
a. Normality Test
Normality test is performed to determine the data was distribution of normal or not. Normality test used the komogorov- Smirnov formula
were processed by statistic program. Data is said to be normally distributed if the coefficient Asym. Sign more than predetermined of 5
0,05. Below is the formula of data normality test, as follows: K
D
= , 6 √
� +� � �
Description: K
D
= Value Kolmogorof Smirnov was found n
1
= Total sample was observated n
2
= Total sample was found Sugiyono, 2012: 389
b. Linearity Test
Linearity test is performed to determine the dependent variable and independent variables had a linear relationship. This test is performed
used F test in which the provisions of F
count
must be less than or equal to F
table
. The F-test used significance level of 5 0.05. Below is the formula of data linearity test, as follows:
F
reg
=
� �� � �
Descriptions: F
reg
= F price for regresi line Rk
reg
= squre average of regresi line Rk
res
= squre average of residu Sutrisno Hadi, 2004: 13
39
c. Multocollinearity Test
Multicolinearity test used to determine whether it occurs between independent variables to each other or not. A statistical technique used is
the Product Moment. The formula is as follows:
n XY X Y
r
xy =
{n X
2
X
2
}{n Y
2
Y
2
}
Descriptions r
xy
= the correalation coefficient between the variables X and Y
N = the number of respondents
∑X = the number of items
∑X
2
= the number of squares score items ∑Y
= total score items ∑Y
2
= total squares score items ∑XY
= total multiple X and Y Suharsimi Arikunto, 2010: 213
Terms of the multicollinearity that the value of Tolerance is less than 0.10 and VIF Variance Inflation Factor is more than 10.00.
Conversely, when the value of Tolerance is more than 0.10 and VIF Variance Inflation Factor is smaller than 10.00, so there is no
multicollinearity between independent variables. Terms between the independent variables can accepted or passed this test must does not
happen multicollinearity.
d. Heterokedasticity Test
Kategori