Significant means that the relations can be applicable to the population. Using a significance level = 5 or 0.05 Dwi Priyatno, 2008: 82.
Freg = �
2
� − � − 1 � 1 − �
2
Explanations: F
reg
N = Cacahkasus
= Price F regression line m
= Cacahprediktor R
= Coefficient between the criterion and predictors SutrisnoHadi, 2004: 23
F
value
is consultated with F
tabel
d. Finding and Effective and Relative contribution of each predictor
variable or the independent variable on the criterion or dependent variable using the formula:
with degrees of freedom db against Nm-1 at the 5 significance level. If the F value is greater than or equal
to the F table, then there is a significant effect of the independent variables together on the dependent variable. Conversely, if the F value is
smaller than Ftable the effect of free variables together on the dependent variable is not significant.
1 Relative Contribution
SR =
� ∑ �� �����
Sutrisno Hadi, 2004: 37 Explanations:
SR = relative contribution of a predictor a = amount of a product between X and Y
∑ �� = amount of product between X and Y ����� = sum of squares regression
2 Effective Contributions
SE =
� ∑ �� ∑ �
2
Explanations: SE
= effective contribution of a predictor. a
= predictor coefficients ∑ �� = number of products between X and Y
∑ �
2
= sum of squares criterion Sutrisno Hadi, 2004: 39
CHAPTER IV RESEARCH RESULTS AND DISCUSSION
A. Research Results
This study aims to determine the effect of Entrepreneurship Knowledge X
1
and the Family Environment X
2
Description of the data presented include Mean M, median Me, mode Mo and Standard Deviation SD. It also presented a frequency distribution tables
and histograms. The steps used in the present frequency distribution table taken from Sugiyono 2010: 34 is as follows:
Against Interests Entrepreneurship Y a case study in the Faculty of Economics Student Education Program Yogyakarta State
University class of 2010. Subjects in this study are 100 students. The data used in this study is primary data. The primary data in this study were obtained by
distributing questionnaires to obtain data for variable interest Entrepreneurship and Family Environment. While variable Entrepreneurship Knowledge of data obtained
from the value of entrepreneurship courses.
1. Calculates the number of class intervals
In determining the number of class intervals used Sturgess formula is: K = 1 + 3.3 log n
explanations: K = number of class intervals
n = number of observation data or respondent log = logarithm
40
2. Determine the range of data
It is the largest data minus the smallest data then added 1 3.
Calculate the length of class = class divided by class. Furthermore, the determination of the clustering tendency based on those
variables position as follows: a.
High group All respondents who have a score as the average score plus standard
deviation above M + 1 SD. b.
Midle group All respondents who had scores between average scores - average
minus one standard deviation and the mean score plus one standard deviation SD between M-1 to M + 1 SD.
c. Low group
All respondents who had scores lower than the average score of minus 1 standard deviation M - 1 SD. SuharsimiArikunto, 2010: 264.
Description of each variable can be seen in detail in the following description:
1. Interest in Entrepreneurship
Data Interest in Entrepreneurship Y is obtained from a questionnaire consisting of 15 items query view using a modified Likert scale with four
alternative answers, the highest score is 4 and for the lowest score is 1. Of the
Source: primary data questions obtained the lowest score is 41 and the highest score was 56. From the
data obtained the average price mean of 51.72, the middle value median of 52, mode of 56, and the deviation deviation SD of 3.397.
Table 7. Frequency Distribution Table Variable Data Entrepreneurship Interests
no Interval Class
Frequency Cumulative Frequency
Relative Frequency
Cumulative Frequency
1 41 to 42.9
1 1
1 1
2 43 to 44.9
3 4
3 4
3 45 to 46.9
7 11
7 11
4 47 to 48.9
6 17
6 17
5 49 to 50.9
13 30
13 30
6 51 to 52.9
23 53
23 53
7 53 to 54.9
26 79
26 79
8 55 to 56.9
21 100
21 100
total 100
100
