Correlation and Causation

On Chapter 3, we earned about correlation. In this chapter, I it was a bit difficult to catch up because there are so many calculation and keywords relate into this. It is a really fun topic to learn, and see the association between two variables. We did a small project where we survey Liger students and we compare those data to see are there a correlation. It turns out that height and weigh have a high correlation. 

Correlation (r) has a range from -1 to 1; when r = 1 or -1 means that two variable are really correlated but that does not means that one causing another. Correlation means that the two variable have an association; causation means that one causing another to happen, we can conclude that only if we do the experiment.

This an example of two unrelated variables, but they do have a high correlation. This doesn’t means that eating mozzarella cheese cause you to have a civil engineering doctorates awarded. Source: http://tylervigen.com/spurious-correlations

 

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