4.3.4.2 Impact of the
increase in family size on current monthly expenditures of women
entrepreneurs
Women entrepreneurs has sometimes a big family in which they
had to contribute much for their well being.
|
Table 4.4: Family size
of women entrepreneurs
|
|
N
|
Minimum
|
Maximum
|
Sum
|
Mean
|
Std. Deviation
|
|
Children and Dependents
|
60
|
1
|
16.00
|
390.00
|
6.5000
|
3.12724
|
|
Valid N (listwise)
|
60
|
|
|
|
|
|
The table 4.4 shows that the mean family size of women
entrepreneurs is composed by 6.5 people; the maximum family size is composed of
16 people compared to the minimum family size which is composed of 1 people.
The total family size of 60 women entrepreneurs is 390. The tables below
analyze how the increase in family affects monthly expenditures of women
entrepreneurs after becoming entrepreneurs.
|
Table4.5: Model
Summary
|
|
Model
|
R
|
R Square
|
Adjusted R Square
|
Std. Error of the Estimate
|
|
1
|
.254a
|
.065
|
.048
|
81324.18468
|
|
a. Predictors: (Constant), Children and Dependents
|
|
Table 4.6: ANOVA
Table
|
|
Model
|
Sum of Squares
|
df
|
Mean Square
|
F
|
Sig.
|
|
1
|
Regression
|
2.648E10
|
1
|
2.648E10
|
4.003
|
.050a
|
|
Residual
|
3.836E11
|
58
|
6.614E9
|
|
|
|
Total
|
4.101E11
|
59
|
|
|
|
|
a. Predictors: (Constant), ChildrenandDependents
|
|
|
|
b. Dependent Variable: Currently in the business?
|
|
|
|
Table 4.7:
Coefficients
|
|
Model
|
Unstandardized Coefficients
|
Standardized Coefficients
|
t
|
Sig.
|
|
B
|
Std. Error
|
Beta
|
|
1
|
(Constant)
|
64120.104
|
24382.374
|
|
2.630
|
.011
|
|
ChildrenandDependents
|
6773.830
|
3385.570
|
.254
|
2.001
|
.050
|
|
a. Dependent Variable: Currently in the business?
|
|
|
|
Table 4.8 indicates the model summary it shows that R square
statistic indicates that 4.8 % of total variation of family size is explained
monthly expenses. It is evident that the total variation is very small since it
is 4.8% not more than 50%.
Table 4.9 which is the ANOVA table indicates that the model is
significant at 95% confidence interval since the p-value is 0.05=0.05.
Table 4.10 indicates the relationship between the increase in
family size and current monthly expenses using a model. The result shows
Y=64120.104+6773.830x1(family size)
As explained by the model, increase in family size by 1 person
influences monthly expenditure by 6,774 because the increase in family size is
followed by increase in education fees, nutrition, and other expenses related
to a large family.
The regression coefficient is statistically significant since
p-value is 0.05=0.05 alpha value and the result is extraordinary since it is
not less or more than 0.05.
| 
