The video's presenter provided an excellent explanation of the distinction between correlation and causation. The way he illustrated everything helped me understand what he was saying throughout the video. Thus, correlation is defined as a relationship between two variables, whereas causation is defined as one variable causing another variable. Both of these factors contribute to data confusion in research. I am not aware of any unusual correlations in my life, but one could be.
I woke up to the delicious aroma of bacon and eggs. As I got out of bed, I heard my stomach let out a super loud growl, and I winced. I was so hungry I could eat a horse! I splashed cold water on my face and I ran to the kitchen to eat my breakfast.
