Use r(which is a software) stata or excel to do the - Assignment Example

Question a Descriptive statistics for life expectancy in 2009 Column1 Mean 68.73888 Standard Error 0.774704 Median 72.01 Mode72.64Standard Deviation10.36484Sample Variance107.4298Kurtosis-0.47496Skewness-0.77928Range38.63Minimum44.3Maximum82.93Sum12304.26Count179The descriptive statistics shows that the minimum life expectancy is 44.3 and the maximum is 82.93. as depicted by the summative statistics, the mean is 68.74.For the years of education Column1Mean7.850704Standard Error0.237608Median8.3Mode10.4Standard Deviation2.

831428Sample Variance8.016985Kurtosis-0.77743Skewness-0.39315Range11.4Minimum1.2Maximum12.6Sum1114.8Count142The average level of education is 7.85. The table also shows that the minimum level of education is 1.2 and the maximum is 12.6. Question bThe following is the scatter plot required for the relationship between the average years of education of the labor force in 1975 and per capita real income growth over the period 1975 to 2009The scatter plot assumes an uphill pattern as we move from left to right.

As the values in the horizontal axis increase so do those in the vertical axis. The trend line drawn also depicts a linear association with outliers on either side. Consequently, the aspects show a linear association between the two variables. The cluster also insinuates a t-statistics of more than 5 hence the strong correlation detected. From the analysis, showing the strong correlation and positive relationship, one can conclude that there is a possible association between education and labor production in any country.

This supports the model, which supposes that education is a factor of labor productionQuestion cThe scatter plot for infant mortality and education is as follows The scatter plot assumes a downhill pattern as we move from left to right. As the values in the horizontal axis increase, those in the vertical axis decrease. The trend line drawn also depicts a negative linear association with outliers on either side. The data are scattered all over indicating a t-statistics of less than 0.5 hence weak correlation detected.

From the analysis, showing the strong correlation and positive relationship, one can conclude that there is a possible association between education and labor production in any country. This supports the model, which supposes that education is a factor of labor production.The analysis supports the theory that level of education is not a factor for infant mortality. In which case, education only serves as a growth factor and not as a factor which can reduce the number of infants’ deaths. Question dThe following is the scatter plot for the gross domestic saving rate and average schooling levelFrom the scatter plot, the pattern depicted assumes an uphill pattern as we move from left to right.

As the values in the horizontal axis increase so do those in the vertical axis. The trend line drawn also depicts a linear association with outliers on either side. Consequently, the aspects show a linear association between the two variables. The cluster also insinuates a t-statistics of more than 5 hence the strong correlation detected. This analysis supports the theory that there is a possibility of relationship between higher levels of education and domestic saving rates. Question eThe scatter plots drawn above, shows that levels of education act as one of the major factors influencing growth in a country.

First, the possibility of its relation to domestic savings rate shows that a country with greater level of education is likely to witness growth. This is because the increased savings put a country in a better place for exploiting every opportunity that proves beneficial towards growth. Further, the strong correlation between level of education and labor also insinuates the influence it has on the growth of country. As the levels of education increase, there is a greater chance for the involved citizens to involve in increased labor production.

Intuitively, increased labor force production serves in increasing growth of a given country. Question fThe scatter plot above shows that there is a positive relationship between life-expectancy and income-per-capita. The pattern depicted assumes an uphill pattern as we move from left to right. As the values in the horizontal axis increase so do those in the vertical axis. Consequently, the aspects show a linear association between the two variables. The cluster also insinuates a t-statistics of more than 5 hence the strong correlation detected.

This analysis supports the theory that there is a possibility of relationship between health of a country and income per capita. A country with a greater health care is likely to have citizens who are fit to involve in various labor productions. However, low levels of health normally demoralizes labor production; hence, decreasing the ability of the citizens to increase their income per capita. Question g:The following are some of the policy recommendations for any country that would want to increase its income per capita:A country should put up projects aimed at increasing life expectancy and the overall health of its citizens.

As shown by the scatter plots, there is positive relationship between life-expectancy and income-per-capita. Intuitively, A country with a greater health care is likely to have citizens who are fit to involve in various labor productions.A country should also carry out aggressive awareness aimed at increasing the levels of education obtained by its citizens. This scatter plot supports this recommendation as it shows that there is a possibility of relationship between higher levels of education and domestic saving rates.

The gross domestic saving rates, is in turn, a factor which has a direct influence on the income per capita.