We analyse the political and economic factors of Chad, Sierra Leone and Senegal and create a linear regression model with these economic and political factors.
3. BIG CONCEPT
We create a linear regression model to see which factors
affected the life expectancy the most.
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4. Factors affecting life expectancy
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● Percent of undernourished population
● Health expenditure per capita by government
● Improved access to water sources
● Improved access to sanitation
● Political instability
10. Linear regression model features
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Life.Expectancy ~ Country + War + Health.Expenditure +
I(Improved.Water.Sources*Improved.Sanitation) +
Percentage.of.People.Undernourished
11. Sanitation and water sources are highly
correlated
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● 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.
13. Cross validation by predicting for Sierra
Leone in 2003
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● 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.
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16. CREDITS
Special thanks to all the people who
made and released these awesome
resources for free:
▸ Presentation template by
SlidesCarnival
▸ Photographs by Unsplash
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