Correlation is a statistical measure that quantifies the strength of the relationship between two continuous variables. It can indicate no correlation, positive correlation, or negative correlation, but does not imply a cause-effect relationship. The document encourages reflection on cases where correlation may be misrepresented as causation.

1. CORRELATION
X
Y

2. Correlation is a statistical measure to
quantify the strength of the relationship
between two quantitative and
continuous variables.

3. X
Y
X
Y
-10
The relationship can indicate one of the following-
No Correlation - The two
variables have shown
movement unrelated to
each other
X
Y
Positive - The two
variables have moved
in the same direction
+1
Negative - The two
variables have moved in
opposite direction

4. But good correlation between two
variables A and B does not prove
that there is cause-effect
relationship between A and B.

5. Can you think of instances where
Correlation is being misused and shown
as cause and effect relationship?
Provide your comment below.