Aidyn Crosby

2022-09-29

What is the main difference between correlation and causation? (Answer the question in a short paragraph (roughly 3-5 sentences). If necessary, explain the concept and/or give examples)

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Associated variables:
Two variables are associated or related if the value of one variable gives you information about the value of the other variable.
Correlation:
Correlation analysis is used to measure the strength of the association between variables. In other words it can be said that correlation describes the linear associations between quantitative variables.
Required assumptions for correlation:
Unlike association, both the two variables should be quantitative to calculate correlation.
There should be linearly related to calculate correlation coefficient.
The scatterplot should not contain outliers to calculate correlation.Cause-and-effect:
The cause-and-effect occurs between two groups if the one group makes the changes in another group.
Causation:
If one event is the result of the occurrence of other event then the variables of the two events are said to be under causation. In other words, it can be said that there exist causal relationship between the two variables.
The correlation between the two variables does not infer that the change in one variable is the cause of the change in other variables.
Also, correlation does not imply causation.
A study states that there is a high correlation between ‘divorce rate in Maine’ and ‘per capita consumption of margarine’.
But this does not imply that the event ‘per capita consumption of margarine’ is the consequence of the event ‘divorce rate in Maine’ because correlation does not imply causation.

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