Commit d1869601 authored by Jolahn Vaudey's avatar Jolahn Vaudey
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Replace data_visualization.Rmd

parent b55fbaa1
......@@ -57,7 +57,9 @@ Of course, it seems utterly absurd that having huge feet would prevent a student
As said before, it seems that there is a negative correlation between the two variables. On the other hand, **it does not mean that there exists a causal link**.
As both the graph and the data analysis give the same absurd result, the issue should stem from the data itself. It is either incorrect, or does not capture enough factors (it only contains two variables after all) to allow us to reach correct conclusions.
As both the graph and the data analysis give the same result, the issue should stem from the data itself. It is either incorrect, or does not capture enough factors (it only contains two variables after all) to allow us to reach correct conclusions.
In our case, the data was collected **on all classes** in an elementary school. It means that there could be a very large **age** gap between two students. It is very likely that, if there was an "age" variable, it would be positively correlated to foot size, negatively correlated to the number of mistakes made, and would explain the variations of both of these parameters.
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