Sunday, June 9, 2019

Education level vs. GDP per capital (Analysis) Essay

Education level vs. GDP per capital (Analysis) - Essay ExampleFrom the table above, there is little than 5 years of elementary school and the GDP are perfectly negatively correlated. There is a relatively strong correlativity between 4 or more years of college and GDP per capita than there is between high school completion or higher and the GDP per capita. This means that those who have slight than 5 years elementary education contribute less to the countrys GDP per capita as compared to high school completion and 4 or more years of college. The longer one takes in learning, the higher they contribute to the GDP per capita.From the regression analysis output above, the equation of the cast is y = -1129498.874 +583.606*Year. This is to demo that there is a significant relationship between the GDP and the education level as years spent in school is part of the model formula.Based on the four years moving average of the countrys gdp above, it is healthy to assume that the countrys GDP is change exponentially over the years with the forecasted GDP almost meeting the actual GDP (Corder, &, Foreman, 35)Even though the data provides that there is a strong correlation between education level and the gdp, IT is imperative to note that the GDP as it is, is a wide econometric term used to refer to a chip of variables. Therefore, the relationship between the educational levels and the GDP may be assumed correct in the light of the data but not in touchable life scenarios. One is likely to realize that the GDP alone to be strongly correlated to the other macroeconomic factors than just educational level. It is therefore important to conduct anon parametric analysis on the other variable before making a concrete conclusion (Spearman,

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