No, correlation and causation are not the same thing. Correlation means that two variables are related in some way, while causation means that one variable directly causes a change in another variable. Just because two variables are correlated does not mean that one causes the other.
Correlation is a statistical relationship between two variables, while causation implies that one variable directly influences the other. Correlation does not prove causation, as there may be other factors at play. It is important to consider other evidence before concluding a causal relationship.
Correlation is a relationship between two variables where they change together, but it does not mean that one causes the other. Causation, on the other hand, implies that one variable directly influences the other. In simpler terms, correlation shows a connection, while causation shows a cause-and-effect relationship.
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.
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.
Correlation is a statistical relationship between two variables, while causation implies that one variable directly influences the other. Just because two variables are correlated does not mean that one causes the other.
NO. correlation just (implies) a relationship ... for example, both may be caused by the same thing.
Correlation is when two things are related or have similar properties. They can exist independently. Causation means that one thing made the other thing happen
Correlation is when two things are related or have similar properties and they can exist independently. Causation means that one thing made the other thing happen.
Correlation alone cannot be able to complicate causation.
No! Correlation by itself is not sufficient to infer or prove causation.
does not prove
correlation implies the cause and effect relationship,, but casuality doesn't imply correlation.
occurred at the same time but did not influence each other.
Causation cannot be determined.
The answer would be: It confuses correlation with causation.
Correlation is a statistical relationship between two variables, while causation implies that one variable directly influences the other. Correlation does not prove causation, as there may be other factors at play. It is important to consider other evidence before concluding a causal relationship.
It confuses correlation with causation