0
Still curious? Ask our experts.
Chat with our AI personalities
Fran
Vivi
EzraAdd your answer:
Earn +20 pts
What is the difference between causality and correlation?
Causality refers to a cause-and-effect relationship where one event directly influences another, while correlation is a statistical relationship where two variables change together but may not have a direct cause-and-effect connection.
Why is it important to know the difference between correlation and causation?
It is important to know the difference between correlation and causation because correlation only shows a relationship between two variables, while causation indicates that one variable directly causes a change in another. Understanding this distinction helps in making informed decisions and avoiding false assumptions based on misleading data.
What is the difference between correlation and cause and effect?
Correlation is a relationship between two variables where they change together, but it does not imply causation. Cause and effect, on the other hand, indicates that one variable directly influences the other.
Can you explain the difference between correlation and causation?
Correlation is a relationship between two variables where they change together, but it doesn't mean one causes the other. Causation, on the other hand, implies that one variable directly causes a change in the other.
What's the difference between correlation and causation?
Correlation is a relationship between two variables where they change together, while causation is when one variable directly causes a change in another variable. Just because two things are correlated does not mean that one causes the other.
