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Regression Analysis

Data from 60 cities has been collected to investigate how human mortality relates to different socioeconomic factors.

The variables are:
Mortality (age adjusted mortality)
Education (median education)
PopDensity (Population density)
%Non-white (Percentage of non-whites)
%WC (Percentage of white collar workers)
Population (Population)
Pop/House (Population/household)
Incomes (Median income)

Trying to figure out how the dependent variable mortality can be described on the socio-economic factors algebraically.

*Some of the data sets did not show normality (by Anderson-Darling test) and thus were log transformed, whereupon they passed the Anderson-Darling test for normality.

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I used the regression estimated by the Least Squares Method to evaluate the algebraic relationship between the dependent variable and the listed independent ...

Solution Summary

Data from 60 cities has been collected to investigate how human mortality relates to different socioeconomic factors.

The variables are:
Mortality (age adjusted mortality)
Education (median education)
PopDensity (Population density)
%Non-white (Percentage of non-whites)
%WC (Percentage of white collar workers)
Population (Population)
Pop/House (Population/household)
Incomes (Median income)

Trying to figure out how the dependent variable mortality can be described on the socio-economic factors algebraically.

*Some of the data sets did not show normality (by Anderson-Darling test) and thus were log transformed, whereupon they passed the Anderson-Darling test for normality.

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