Table 15.summary of the test results multicollinearity
variable VIF
information Knowledge
Entrepreneurship 1,635
not occur multicollinearity
Family Environment
1,635 not occur
multicollinearity Source: primary data
Based on the above table it is known that no VIF value greater than 10, it can be concluded that each variable multicollinearity problem does not
occur.
4. Heteroskidastity Test
Heteroskidastity test aims to test whether the regression model of the residual variance inequality occurs one other observation to
observation. Regression models were good then there is no heteroscedasticity. Heteroscedasticity does not happen, if the
t
value is smaller than t
table
and significance values greater than 0.05. Here is a summary of the heteroscedasticity test
Table 16. Test Results Table Heteroskidastity
variable sig
information Knowledge
Entrepreneurship 0.595
no problems heteroskedasticity
Family Environment
0.743 no problems
heteroskedasticity Source: primary data
Based on the above table, the significance value is more than 0.05. Therefore we can conclude the data does not occurheteroscedasticity
problem.
C. Testing the hypothesis
The analysis technique used to test the hypothesis first and second hypothesis in this study using simple regression analysis, while the third hypothesis to test using
multiple regression analysis. For more details, the results of hypothesis testing in this study are as follows:
Table 17.Summary of Simple Regression Analysis
Variables Price r
Price t P
Conclusion Free
Bound r
r
count table
t
t table
X1 Y
0.697 0.195
9.611 1,984 0,000
-significant positive X2
Y 0.613
0.195 7,686
1,984 0,000 -significant positive
Source: primary data
1. The first hypothesis test There is Positive Effect Between Entrepreneurship
Knowledge to Student Interest Entrepreneurship Education Program class 2010 Faculty of Economics Yogyakarta State University
The first hypothesis states that There is Positive Effect Between Entrepreneurship Knowledge to Student Interest Entrepreneurship Education
Program class 2010 Faculty of Economics Yogyakarta State University. After a simple regression analysis with correlation coefficient rx
1
y by 0697 at a price of coefficient of determination r
2
x
1
y by 0485. obtained after t test was 9.611
t
and
