Discussion on Regression analysis

In the present report regression analysis of five variables are considered and these five variables include Household income in 2014-2015, % single parent 2012-2016, Population density in 2010, Income in 1990, Median rent 2012-2016, and Census response rate in 2010. Below each variable is discussed with the predicted household income under different parameters.

a.       In case of Median rent 2012-2016, significance factor is  that is below than 0.005.

b.      The regression analysis of Household income in 2014-2015 show significance factor as .

c.       When considering Population density in 2010, the regression analysis calculated in analysis showed value of significance factor as .

d.      The regression analysis of % single parent 2012-2016 show significance factor as zero.

e.       The regression analysis of Census response rate in 2010 shows significance factor as below than 0.005 as .

Consistency

Five parameters including Household income in 2014-2015, % single parent 2012-2016, Population density in 2010, Income in 1990, Median rent 2012-2016, and Census response rate in 2010 were considered to predict the household income. The standard value of significance factor in the regression analysis is 0.005. The value of significance factor is below that standard value for each case. The results of this report demonstrate consistency in the observation, and it remain consistent with the outcomes of the regression analysis.

 strength and weakness

Different strength and weakness parameters are considered in the report. The results can be used to overcome the issues of poverty and to reduce it by manifolds. The indicators of success are low income household with children. Index of family strength, economic problem-solving strategies, communication, social support, and family cohesion.