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How does political and economic
factors affect life expectancy in
African Country?
Manu Gupta, David Willliams, Daniel DiNicola
Chad
Senegal
Sierra
Leone
These countries share the following characteristics:
1. Low government expenditure on basic services.
2. Political instability
BIG CONCEPT
We create a linear regression model to see which factors
affected the life expectancy the most.
3
Factors affecting life expectancy
4
● Percent of undernourished population
● Health expenditure per capita by government
● Improved access to water sources
● Improved access to sanitation
● Political instability
Exploratory data analysis
5
Exploratory data analysis
6
Exploratory data analysis
7
Exploratory data analysis
Life expectancy is sporadic between 36 & 38
8
Investigating further
Undernourished population % increased between 2000 & 2005
Sierra Leone was undergoing a political transition between 2000 & 20059
Linear regression model features
10
Life.Expectancy ~ Country + War + Health.Expenditure +
I(Improved.Water.Sources*Improved.Sanitation) +
Percentage.of.People.Undernourished
Sanitation and water sources are highly
correlated
11
● Correlation factor 0.93 for this model
● Correlation factor 0.99 for each of these countries calculated individually
Therefore, the reason for the interaction variable.
Results & Significance
12
Life expectancy is significant at 95% confidence
interval for economic and political factors.
Cross validation by predicting for Sierra
Leone in 2003
13
● Year : 12/31/2003
● Country = Sierra Leone
● No War
● Health Expenditure ppp (2005$) 122.3210644
● % of People Undernourished 39.9
● Improved.Water.Sources 50.4
● Improved.Sanitation 12.2
● Predicted life expectancy : 41.04602
● Standard error of the prediction : 0.20
● 95% confidence interval : [40.61077, 41.48127]
● Original life expectancy : 40.48607317
INPUT PREDICTION
Summary
Our regression models perform well with
95% confidence level.
The data points are yearly, more data
points might lead to better results.
14
15 THANKS!
Any questions?
You can find me at
▸ gmanu@umich.edu
CREDITS
Special thanks to all the people who
made and released these awesome
resources for free:
▸ Presentation template by
SlidesCarnival
▸ Photographs by Unsplash
16
PRESENTATION
DESIGN
This presentation uses the following typographies:
▸ Titles: Montserrat
▸ Body copy: Roboto
You can download the fonts on this page:
https://www.google.com/fonts#UsePlace:use/Collection:
Montserrat:400,700|Roboto:400,400italic,700,700italic
Click on the “arrow button” that appears on the top right
Light blue #6fa8dc / Medium blue #3d85c6 / Dark blue #073763
You don’t need to keep this slide in your presentation. It’s only here to serve you as a design
guide if you need to create new slides or download the fonts to edit the presentation in
PowerPoint®
17

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How does political and economic factors affect life expectancy in african country

  • 1. How does political and economic factors affect life expectancy in African Country? Manu Gupta, David Willliams, Daniel DiNicola
  • 2. Chad Senegal Sierra Leone These countries share the following characteristics: 1. Low government expenditure on basic services. 2. Political instability
  • 3. BIG CONCEPT We create a linear regression model to see which factors affected the life expectancy the most. 3
  • 4. Factors affecting life expectancy 4 ● Percent of undernourished population ● Health expenditure per capita by government ● Improved access to water sources ● Improved access to sanitation ● Political instability
  • 8. Exploratory data analysis Life expectancy is sporadic between 36 & 38 8
  • 9. Investigating further Undernourished population % increased between 2000 & 2005 Sierra Leone was undergoing a political transition between 2000 & 20059
  • 10. Linear regression model features 10 Life.Expectancy ~ Country + War + Health.Expenditure + I(Improved.Water.Sources*Improved.Sanitation) + Percentage.of.People.Undernourished
  • 11. Sanitation and water sources are highly correlated 11 ● Correlation factor 0.93 for this model ● Correlation factor 0.99 for each of these countries calculated individually Therefore, the reason for the interaction variable.
  • 12. Results & Significance 12 Life expectancy is significant at 95% confidence interval for economic and political factors.
  • 13. Cross validation by predicting for Sierra Leone in 2003 13 ● Year : 12/31/2003 ● Country = Sierra Leone ● No War ● Health Expenditure ppp (2005$) 122.3210644 ● % of People Undernourished 39.9 ● Improved.Water.Sources 50.4 ● Improved.Sanitation 12.2 ● Predicted life expectancy : 41.04602 ● Standard error of the prediction : 0.20 ● 95% confidence interval : [40.61077, 41.48127] ● Original life expectancy : 40.48607317 INPUT PREDICTION
  • 14. Summary Our regression models perform well with 95% confidence level. The data points are yearly, more data points might lead to better results. 14
  • 15. 15 THANKS! Any questions? You can find me at ▸ gmanu@umich.edu
  • 16. CREDITS Special thanks to all the people who made and released these awesome resources for free: ▸ Presentation template by SlidesCarnival ▸ Photographs by Unsplash 16
  • 17. PRESENTATION DESIGN This presentation uses the following typographies: ▸ Titles: Montserrat ▸ Body copy: Roboto You can download the fonts on this page: https://www.google.com/fonts#UsePlace:use/Collection: Montserrat:400,700|Roboto:400,400italic,700,700italic Click on the “arrow button” that appears on the top right Light blue #6fa8dc / Medium blue #3d85c6 / Dark blue #073763 You don’t need to keep this slide in your presentation. It’s only here to serve you as a design guide if you need to create new slides or download the fonts to edit the presentation in PowerPoint® 17