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Explanation:
correlation relationships are between variables, however,it does not automatically mean that the change in one variable is the cause of the change in the values of the other variable. Causation indicates that one event is the result of the occurrence of the other event there is a causal relationship between the two events.
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The difference between causal and correlation relationships is that
correlation relationships involves two variables in which a change in one
brings about a change in the other while a causal relationship is defined as
an explanation or reason as to why an event occurred
Causal relationship is often referred to as a correlation relationship with a
defined reason or explanation. it is also important to note that not all
correlations imply causation as reasons for some occurrences aren't always
known.
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