What is Correlation?
In statistics, correlation refers to the measure of the relationship between two variables. It helps us understand how changes in one variable correspond to changes in another. Correlation is expressed numerically through correlation coefficients, which range from -1 to 1, inclusive. A correlation coefficient of 1 indicates a perfect positive correlation, -1 indicates a perfect negative correlation, and 0 indicates no correlation.
Positive and Inverse Correlation
Positive Correlation are relation between two variables that move in the same direction, whereas inverse correlation is a relation between two variables that move in opposite directions. In this article we have covered Correlation definition, Positive Correlation, Negative Correlation, Difference Between Positive and Inverse Correlation and others in detail.
Table of Content
- What is Correlation?
- Positive Correlation
- Inverse Correlation
- Difference Between Positive and Inverse Correlation
- Conclusion
- Examples on Positive and Inverse Correlation