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ABSTRACT The demographic variable we used was the percentage of poverty in a country. The intermidiate variable we used was the percentage of food as exports per country. The ecological variable we used was the amount of arable land per country. We studied these variable because they were the most interesting variables to our group. The methods we used to finish our research was to split up our work evenly to collect our data quickly and we used the webiste www.nationmaster.com for the data we needed. Our hypothesis was that the less arable land there is, the less food is exported. We also thought, the less poverty rate the more arable land and food exports but our research didn't support our hypothesis.

Hypothesis:
Our hypothesis was that the less arable land there is, the less food is exported. We also thought, the less poverty rate the more arable land and food exports.

Procedure:
The technological/mathematical we used was www.nationmaster.com, excel, and Google Docs. We searched for our demographic and ecological value before we created our hypothesis. We found our ecological and demographic value by looking through the variables in the website www.nationmaster.com. We found our intermidiate variable when we found our demographic and ecological variable, which was before we created our hypothesis.

BACKGROUND

Our group chose three variables that might have contained a correlation. One variable was arable land which is the amount of land that can be used for farming. Arable land is researched for seeing how much land a city, state, or country can use for farming. Another variable is food exports which is how popular foods are in a country and the amount of foods that are leaving a country. Food exports are researched for popular foods and the amount of food getting exported. Our last variable is poverty which is the condition of having little or no money. This variable is researched for how poor a community is. We chose these variables because we thought that as arable land increases, poverty decreases. Also, we chose food as exports as our intermediate variable because we believed that if there was more arable land, there would be more food exports, therefore decreasing poverty.

ANALYSIS
1. What type of relationship do you see between your demographic and your ecological variable?
1. According to our logarithmic graph below, there is no correlation between percentage of poverty and the amount of arable land in a country.

1st.png
2. What type of relationship did you see between your demographic and your intermediate variable?
2. According to our linear graph, there was a greater correlation between our demographic variable and our intermediate variable but it was still relatively weak.
2nd.png

3. What type of relationship did you see between your intermediate variable and your ecological variable?
3. According to our power-log graph, there was a very weak correlation between the amounts of arable land and the percentage of food as exports.

3rd.png
4. Given the relationship between your demographic and intermediate variable, and your intermediate variable and your ecological variable, what could we predict about the relationship between the demographic and ecological variable?
4. We could predict that there would nearly no correlation between percentage of poverty and percentage of food as exports in a country.
5. Do the relationships you observe support or not support your hypothesis?
5. The relations do not support our hypothesis. We believed that with more poverty would be because of less food, and if a country has less food it would most likely have very little arable land. Our evidence proved that there was no correlation between any of our three variables.

CONCLUSION

1. Our research did support our hypothesis as we can clearly see in our graphs with the line of best fit running through them. They show the highest corrolation that exists between them.
2. Some of the limitations that our group encountered while completing this assignment was the absence of some information like poverty rate data and arable land percentage. The other limitations were the inabilities of some of the groupmembers to carry their own wight as well as the inadequate communication between us all.
3. The other variable that we should study in order to create a wider basis of support for our hypothsis should have been soil erosion on the land which causes the country to have unarable land.

Work Cited: Metcalfe,Luke. "Nation Master". Rapid Intellengence.12/9/2009www.nationmaster.com.

Miguel, Barrientos. "Index Mundi". CIA World Factbook. 12/5/09 http://www.indexmundi.com/.

"WorldAtlas.com". Woolwine-Moen Group . 12/5/09 http://www.worldatlas.com/aatlas/world.htm.

"Wikipedia". Wikimedia Foundation, Inc.. 12/5/09 <http://en.wikipedia.org/wiki/List_of_national_parks>.