Cutler,+K

= GNI vs Life Expectancy = **Inquiry:** Does the GNI per capita of a country affect the average life expectancy? **Hypothesis**: I believe there will be a direct correlation between the GDP and average life expectancy, however I think things such as recession, and geographic location may also have an effect on the results.  Australia, Austria, Cameroon, Canada, Chile, Denmark, Ethiopia, Luxembourg, Mexico, Netherlands, Niger, Peru, Samoa, Serbia, Singapore, South Africa, Spain, Sudan, Sweden, Thailand, Togo, Tonga, Turkey, Uganda, Ukraine, United Kingdom, USA, Zambia 2005, 2006, 2007, 2008 Using these years will show the bust and boom of the economy to help me factor in recession. **Life Expectancy Data:** [] **GNI Per Capita Data**: []
 * //Countries I've decided to analyze//: **
 * //Years I've decided to analyze: //**

 - Do GDP and literacy rates correlate?  - Do teen pregnancy rates and literacy rates affect eachother?  - Is there a correlation between  - Do teenpregnancy and GDP correspond?
 * Other thoughts: **


 * <span style="font-family: Arial,Helvetica,sans-serif;">Basic Graphs: **



Mean Age= 69.07 years Mean GNI= $17596.67 Median Age= 73 years Median GNI= $4850 r= 0.69087647157058
 * = 2005

<span style="border-collapse: separate; font-family: Arial,Helvetica,sans-serif; font-size: 12px; line-height: normal;">2007 <span style="border-collapse: separate; font-family: Arial,Helvetica,sans-serif; font-size: 12px; line-height: normal;"> Mean Age= 69.82 years <span style="border-collapse: separate; font-family: Arial,Helvetica,sans-serif; font-size: 12px; line-height: normal;"> Mean GNI= $21130.74 <span style="border-collapse: separate; font-family: Arial,Helvetica,sans-serif; font-size: 12px; line-height: normal;"> Median Age= 73 years <span style="border-collapse: separate; font-family: Arial,Helvetica,sans-serif; font-size: 12px; line-height: normal;"> Median GNI= $7380 <span style="border-collapse: separate; font-family: Arial,Helvetica,sans-serif; font-size: 12px; line-height: normal;"> r= 0.71004719740019 ||= 2006 Mean Age= 69.48 years Mean GNI= $18773.70 Median Age= 73 years Median GNI= $5480 r= 0.70231054862859

<span style="font-family: Arial,Helvetica,sans-serif; font-size: 12px; line-height: normal;">2008 <span style="font-family: Arial,Helvetica,sans-serif; font-size: 12px; line-height: normal;">Mean Age= 70.14 years Mean GNI= $20816.07 Median Age= 73.5 years <span style="font-family: Arial,Helvetica,sans-serif; font-size: 12px; line-height: normal;">Median GNI= $7360  <span style="font-family: Arial,Helvetica,sans-serif; font-size: 12px; line-height: normal;">r= 0.71876911800637  || Note that all of the above graphs have a logarithmic shape and the trend over all four years is the same.

I took the Log of both sets of data and graphed it, note how the correlation is linear. r =0.83787083071754 This indicates that there is a strong positive correlation
 * Edited Grap** **hs:**


 * Hidden Variables:**


 * Race
 * Climate
 * Culture
 * Lifestyle
 * Cost of Living
 * Recession
 * War
 * Disease
 * Political Instability


 * Conclusion:**

My Hypothesis was Correct! The correlation was a strong positive one, just like I predicted. However I did not expect a log function. Overall I find my results to be very accurate, thorough and insightful.