No, correlation and causation are not the same thing. Correlation refers to a statistical relationship between two variables, indicating that they change together, while causation implies that one variable directly influences or causes changes in another. Correlation does not establish a cause-and-effect relationship, as other factors or variables may be involved. Therefore, it's crucial to conduct further analysis to determine if a causal relationship exists.
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.
No! Correlation by itself is not sufficient to infer or prove causation.
correlation implies the cause and effect relationship,, but casuality doesn't imply correlation.
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.
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 refers to a statistical relationship between two variables, indicating that when one changes, the other tends to change as well. However, this does not imply causation, which means that one variable directly influences or causes the change in another. There can be other factors at play, such as a third variable affecting both, or the correlation could be coincidental. Therefore, while correlation can suggest a possible relationship, it does not confirm that one variable causes the other.
occurred at the same time but did not influence each other.
correlation implies the cause and effect relationship,, but casuality doesn't imply correlation.
The answer would be: It confuses correlation with causation.
Causation cannot be determined.