Difference Between Positive and Inverse Correlation
The key difference between positive and negative correlation lies in the direction of the relationship between the variables:
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Positive Correlation Vs. Inverse Correlation |
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Ascept |
Positive Correlation |
Negative Correlation |
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Direction of Relationship |
In positive correlation, both variables move in the same direction. |
In negative correlation, the variables move in opposite directions. |
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Correlation Coefficient |
Positive correlation is indicated by a correlation coefficient close to 1. |
Negative correlation is indicated by a correlation coefficient close to -1. |
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Graphical Representation |
In a scatter plot representing positive correlation, the points tend to form an upward trend. |
In a scatter plot representing negative correlation, the points tend to form a downward trend. |
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Examples |
Consider the relationship between the number of hours spent exercising per week and overall fitness level. As the number of hours spent exercising increases, the overall fitness level of an individual also tends to increase. |
Think about the relationship between the amount of junk food consumed and physical health. As the consumption of junk food increases, physical health tends to deteriorate. Conversely, reducing the consumption of junk food leads to an improvement in physical health. |
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
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