Correlation is a statistical measure that describes the strength and direction of the relationship between two variables.
Here's a breakdown:
* Strength: How closely related are the variables?
* A strong correlation means the variables change together in a predictable way.
* A weak correlation means the variables are less related and their changes are not as predictable.
* Direction: Do the variables move in the same direction or opposite directions?
* Positive correlation: When one variable increases, the other variable also tends to increase.
* Negative correlation: When one variable increases, the other variable tends to decrease.
Example:
If we study the relationship between hours of studying and test scores, we might find a positive correlation. This means that students who study more tend to get higher test scores.
Key Points:
* Correlation does not imply causation. Just because two variables are correlated, it doesn't mean one causes the other.
* Correlation is often represented by a number called the correlation coefficient, which ranges from -1 to +1.
* +1 indicates a perfect positive correlation.
* -1 indicates a perfect negative correlation.
* 0 indicates no correlation.
In short, "Corr" indicates the extent to which two variables are related.