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Strongest predictor
The present
analysis is based on the multiple regression for the Household income in
2014-2015. The coefficient of the regression is 90534. Total number of
observations in the analysis is 319. The value of significance factor in
multiple regression is zero that is below than standard value of 0.005.
a.
The value of significance factor is as calculated in the regression
analysis of % single parent 2012-2016 and it below than 0.005.
b.
For Population density in 2010 the calculated
regression analysis showed value of significance factor is that is lower than 0.005.
c.
In case of regression analysis of Income in 1990
the value of significance factor is below than 0.005 that is measured as .
d.
When considering the income analysis for Median
rent 2012-2016 the significance factor is that is lower than 0.005.
e.
The regression analysis of Census response rate
in 2010 shows significance factor as . In this analysis the
maximum predictive parameter is lower than standard value of 0.005.
Consistency
In the present
analysis 5 variables were used for the regression analysis and to predict the
household income. The value of standard significance factor in the regression
analysis is 0.005. while the results of 5 parameters is below than the standard.
The result shows consistency in the outcomes of the regression outcomes.
|
SUMMARY OUTPUT |
||||||||
|
Regression Statistics |
||||||||
|
Multiple R |
0.938523 |
|||||||
|
R Square |
0.880825 |
|||||||
|
Adjusted R Square |
0.88045 |
|||||||
|
Standard Error |
5322.122 |
|||||||
|
Observations |
319 |
|||||||
|
ANOVA |
||||||||
|
|
df |
SS |
MS |
F |
Significance F |
|||
|
Regression |
1 |
6.64E+10 |
6.64E+10 |
2342.964 |
1.8E-148 |
|||
|
Residual |
317 |
8.98E+09 |
28324986 |
|||||
|
Total |
318 |
7.53E+10 |
|
|
|
|||
|
|
Coefficients |
Standard Error |
t Stat |
P-value |
Lower 95% |
Upper 95% |
Lower 95.0% |
Upper 95.0% |
|
Intercept |
23965.48 |
495.1177 |
48.4036 |
1.8E-148 |
22991.35 |
24939.61 |
22991.35 |
24939.61 |
|
Population_Density_in_2010 |
2.527633 |
0.052219 |
48.40418 |
1.8E-148 |
2.424893 |
2.630373 |
2.424893 |
2.630373 |
There are
certain alternative policies that can be used to improve strength and weakness
of the results. The results can be considered from different perspectives. The
attributes and concepts of the family resilience can be used to develop major
difference. The solution is valuable for families experiencing stress over the
life cycle. The benefit of solution is to develop a network of community
families and contribution to the next stage of development.
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