Bivariate Analysis

Bivariate Analysis Objective-To find the effect of money spend as a percentage of GDP(X) on knowledge on the child mortality rate (Y). Priori argument Educated people ar well aware of the needs of a pregnant get down and take good care of her. Hence higher the education spend better is the infrastructure and the corresponding education aim and lower will be the death of the infants. Null Hypothesis H0: thither exists a relationship between percentage money worn-out(a) on gdp and the infant mortality rate. Alternate Hypothesis H1: in that respect is no relation between percentage money washed-out on gdp and the infant mortality rate indie inconsistent Percentage of GDP spent on education hooklike Variable Infant deaths/1,000 Live births Significance level: 98% TYPE OF DATA-Cross sectional entropy. Data was taken for 122 countries. SUMMARY TABLE single-handed var| Dependent var| Model| Equation| R square| Df| F| Significance level| Y| x| Linear| Y=a+bx| .017| 1| 2.003| .16| Log y| x| Log Linear| Logy=a+bx| .031| 1| 3.774| .054| Y| x,x^2| Quadratic| Y=a+bx+cx^2| .041| 2| 2.551| .082| Y| X,x^2,x^3| Cubic| Y=a+bx+cx^2+dx^3| .082| 3| 3.497| .018| Independent var| Dependent var| a| b| c| d| ta| tb| tc| Td| Y| x| 39.158| -1.863| -| -| 5.761| -1.

415| -| -| Log y| x| 3.55| -.0431| -| -| 10.937| -1.943| -| -| Y| x,x^2| 3.904| -.334| .023| -| 8.727| -2.179| 1.876| -| Y| X,x^2,x^3| 5.447| -1.32| .195| -.008| 6.669| -2.884| 2.553| -2.282| INFERENCE Based on the results we can see that the data is not a fit with any of the models, hence we cannot read that the % of gdp spent on education and infant mortality rate are linearly related. There are some(prenominal) other factors that affect infant mortality rate in a country. Multivariate Analysis The Objective-To find the effect of different variables on crime rate in different countries A Priori Reasoning ... If you want to get a full essay, order it on our website: Ordercustompaper.com

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