Assignment 8: Examining Correlation
I have used my initial quantitative variables from Gapminder to make this assignment. After programming I got this results
Employment and Breast Cancer
When looking at the relation between Employment and Breast Cancer Rate, we find that r equals -0,24457, which indicates that the relationship is negative and also fairly close to 0. The latter is kind of saying that there is a weak linear relationhip between the two variables. And with a statistical significant p (p = 0,0014), we can be pretty sure this is not due to chance. Furthermore, if we know the employment variable, we can predict that approximately 6 % of the variablity comes from the Breast Cancer variable (by squaring r).
Employment and HIV-rate.
It has been quiet difficult to say something about these two variables when they were in Scatterplot. Now with a r=0,01145, we can conclude that there is a weak negative relationship between the two variables, and with p > 0,5, we can easily say that the obtained results may be caused by chance (p = 0,8913).
If we know the employment variable, we can predict that a very small proportion of the variablity (0,01145^2 = 0,0001311 = 0,013%) comes from the HIV rate variable.
Employment and Suiciderate
For the last variable we again see that the linear relationship is very weak with r being close to zero (r= 0,01824). There is no statistical significane, so the results can very well be results of chance (p= 0,8139). The r-value squared gives us 0,0003327, which means that if we know either of two variable (ie. employment), we can predict that 0,03327% of the variability comes from the other variable (Suiciderate).
