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 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 and causation are similar in that both involve relationships between two variables. In correlation, changes in one variable are associated with changes in another, while causation implies that one variable directly influences the other. However, correlation does not imply causation; just because two variables are correlated does not mean that one causes the other. Understanding this distinction is crucial for accurate analysis and interpretation of data.