__________________TABLE 1: DESCRIPTIVE STATISTICS__________________ | |||
VARIABLES ► |
PER HEAD |
PER HEAD HEALTH |
EDUCATION |
DESCRIPTIVE STATISTICS ⅛, | |||
Mean_____________________ |
24220.83 |
________________1898.10 |
0.9669~ |
Standard Deviation______________ |
23546.06 |
_______________2466.27 |
_________0.1795 |
Coefficient of Variation__________ |
___________0.97 |
___________________________1.3 |
____________0.19 |
Highest Value__________________ |
140000.00 |
______________13100.00 |
____________1.00 |
Lowest Value_________________ |
_______2250.00 |
_________________137.50 |
____________0.00 |
Range______________________ |
137750.00 |
_______________12962.50 |
____________1.00 |
Source: Compiled from Primary Data
To find out the impact of household income and education of the head of the household
on the pattern of health expenditure (PHE) a linear regression model is fitted (see Table 2 and
Figure 1) as PHE = -696.046 + 0.82PHI + 0.03EDN with R2 value 0.68, which indicates that a
rupee increase in income brings about 82 paise increase health expenditure of a person and an
educated person on an average spends three paise more in a rupee than the uneducated person on
health expenditure.
In both rural and urban areas
income has positive influence on
health expenditure but the influence is
more in urban area than rural area. In
finding out the influence of education
on health expenditure, it is found that,
in both rural and urban areas, an
educated person on an average spends
three paise more in a rupee than the
uneducated person (Rout, 2005). It indicates that education has same impact on health
expenditure irrespective of rural and urban areas.
Figure 1
Relationship between PHI and PHE

PHI
Source: Primary Data
TABLE 2
REGRESSION OUTPUT: ANOVA
Sum of Squares |
df |
Mean Square |
F |
Sig. |
R2 |
Std error |
D-W Stat. | |
Regression |
497127930.086 |
___2 |
248563965.04 |
126.008 |
.000 |
.68 |
140.4945 |
1.634 |
Residual |
232767381.533 |
188 |
1972604.928 | |||||
Total_______ |
729895311.619 |
120 |
a Predictors: (Constant), EDN, PHI
b Dependent Variable: PHE
More intriguing information
1. The name is absent2. Dynamic Explanations of Industry Structure and Performance
3. The name is absent
4. The role of statin drugs in combating cardiovascular diseases
5. STIMULATING COOPERATION AMONG FARMERS IN A POST-SOCIALIST ECONOMY: LESSONS FROM A PUBLIC-PRIVATE MARKETING PARTNERSHIP IN POLAND
6. The name is absent
7. EU Preferential Partners in Search of New Policy Strategies for Agriculture: The Case of Citrus Sector in Trinidad and Tobago
8. Conflict and Uncertainty: A Dynamic Approach
9. Making International Human Rights Protection More Effective: A Rational-Choice Approach to the Effectiveness of Ius Standi Provisions
10. Effects of red light and loud noise on the rate at which monkeys sample the sensory environment