# Data Analysis Of The World Bank 2007 Data

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Data For the purpose of this analysis, I choose to use the World Bank 2007 data to come up with a detailed conclusion. I used 32 different countries scattered throughout the world in my analysis, to provide an unbiased result. Three relevant variables were chosen to be analyzed and discussed later on in this section. These variables as mentioned earlier include foreign direct investments, agriculture and industry.
The graph provided below is a summary statistic of the three variables in thirty two countries that were randomly chosen. In the table provided, you will see the average, median, standard deviation, maximum, and minimum of the given set of data. All information provided below was taken from World Bank 2007 database and calculations
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Solomon island have a population of roughly 498240. The United States have a GDP of \$13,741,600,000,000 with a population of 301,290,000 people. Comparing these two countries one with the highest GDP and one with the lowest GDP, we want to know which country has the best annual GDP per capita growth. From the World Bank 2007 database, we realized that the United States have a GDP per capita growth of only one percent. While this is so, Solomon Island has a GDP per capita growth of eight percents. This proves that if population size is huge, then there might be a slow GDP per capita growth. Hence, population size would also affect GDP per capita growth, but for our purpose of the analysis we must figure out whether or not the hypotheses are accurate or …show more content…
The standardize coefficient beta is a estimate of results from our analysis that was used to carry out our independent variable (in our case GDP per capita growth) which have been standardized. We realized that Industry value which has a “t value” that is 6.034. When looking at the scatter plot provided earlier in the analysis, we can see that the plots are very closely lined with the linear line. This means that there is a close relationship between the dependent and independent variable. Which also proves all of our hypothesis to be true meaning all of the independent variables mentioned earlier all could have substantial effect on the country’s GDP. With these findings, I could use it in a policy debate to debate against politician who are working against improving agriculture, industry and foreign direct investments. I could debate against them saying that with these data and analysis that all resulted in a positive relationship between the independent and dependent variables. Without further explanation, the tables and graph provided below should show sufficient amount of information that these three variables all can contribute to this

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