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The danger of mixing up causality and correlation
If you work with data analysis, you should read this blog post to avoid wrong assumptions based on Illusory correlation.
For example, what do you think about this example below?
True or False? Check more examples like this one at Spurious Correlations (tylervigen.com).
Be careful, when you find a correlation, please take time to understand the correlation and do not conclude without properly understanding the results.
Correlation does not imply causation.
Types of correlation
1 Positive Correlation
A positive correlation is a relationship between two variables. The value of these two variables increases or decreases together. For example, Time spent studying and grade point averages, Education and income levels, Poverty and crime levels.
2 Negative correlation
A negative correlation is a relationship between two variables that the value of one variable increases, the other decreases. For example, Yellow cars and accident…
