In modules 7 (and 8) we have discovered/will discover two methods to find out whether two variables are related (Chi-Square test and its p-value for ordinal variables, least-square regression, and correlation coefficient for numeric variables). Just because two variables are related, or have a high degree of correlation, does not imply that one variable causes the other. For example, it was long known that smoking and lung cancer was correlated, but it took a lot of research to show that smoking actually causes lung cancer (https://lesslikely.com/medicine/smoking-and-lung-cancer/). In this post you need to find examples of two variables that have a high degree of correlation. Decide whether it is likely or unlikely that one of them causes the other. List at least one example, then provide a reason why the two variables might correlate without there being causation. For example, a college student noticed that he woke up with a strong headache every time he happened to sleep without taking off his shoes. Can he conclude that wearing shoes while sleeping causes a headache? What other reason might be the hidden cause of both the headache as well as sleeping with your shoes on.