Correlation is often used to determine the association between two continuous variables. But it has a major flaw that often gets unnoticed. Folks often draw conclusions using a correlation matrix without even looking at the data. However, the obtained statistics could be heavily driven by outliers or other artifacts.
Avi, I love this post! You do a great job with communicating something important in less than a minute. I've tried to explain this to others who cite a current talking point about conclusions from data without understanding the data. I'm going to link to this instead. Thanks.
Avi, I love this post! You do a great job with communicating something important in less than a minute. I've tried to explain this to others who cite a current talking point about conclusions from data without understanding the data. I'm going to link to this instead. Thanks.