Correlation
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Definition: A statistical measure that indicates the degree to which two variables change together
It’s a blessing. A change in one variable causes a change in another variable
It means that it is related to 1 3
Characteristics: Measured by correlation coefficient, positive correlation, negative correlation
Divided into relationship and zero correlation
Example: Ice cream sales and the number of doctor accidents increase in the summer.
There is a tendency, but this does not imply causality.
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correlation
Examples include ice cream sales and drowning accidents.
There is a correlation, but it prevents ice cream sales.
The number of drowning accidents does not decrease.
The only common denominator for both is summer.
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Causation
Definition: A change in one variable directly affects another variable.
It is a relationship between cause and effect 1
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Features: To establish a causal relationshipv, temporal priority cause and
Covariance of effects and elimination of alternative explanations are necessary 1 .
Example: It is a causal relationship that hayeon causes lung cancer.
causality
cause and effect relationship
Because it has been proven that smoking causes lung cancer,
If cigarette sales are banned, the lung cancer incidence rate will go down.
Why do I need this to live?
Correlation does not necessarily mean causation
When someone incites a plausible correlation
Think for yourself whether there is a causal relationship there.
If you do this, 90% of fraud cases can be avoided.
So let’s stop spending money on hair loss shampoo.