Q: What is the difference between causation and correlation?

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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 implies the cause and effect relationship,, but casuality doesn't imply correlation.

Causation, correlation...

No! Correlation by itself is not sufficient to infer or prove causation.

NO. correlation just (implies) a relationship ... for example, both may be caused by the same thing.

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Correlation and causation.

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 implies the cause and effect relationship,, but casuality doesn't imply correlation.

Causation, correlation...

Correlation alone cannot be able to complicate causation.

No! Correlation by itself is not sufficient to infer or prove causation.

both have connections between multiple events

A cause implies a direct relationship between two factors where one factor results in the other. Correlation, on the other hand, refers to a relationship where two factors are observed to change together but may not have a direct cause-and-effect link. Correlation does not imply causation.

Historical causation and correlation both involve relationships between events or variables. However, causation implies a direct relationship where one event causes another, while correlation suggests a statistical relationship where changes in one event may be associated with changes in another, without implying causation. Both concepts are used to interpret patterns in data or events.

Correlation is a statistical measure of the linear association between two variables. It is important to remember that correlation does not mean causation and also that the absence of correlation does not mean the two variables are unrelated.

does not prove

that there is a correlation between the two variables. However, correlation does not imply causation, so it is important to further investigate to determine the nature of the relationship between the variables.