The correlation strength of the relationship is often interpreted depending on how close or distant the value is from 1.
A value of 1 means that there exists a perfect relationship between the two variables.
A value of 0 is means that there exists no relationship at all between the variables.
Weak Positive Correlation
A value between 0.1 and 0.3 means that the existing relationship is very weak.
Moderate Positive Correlation
A value between 0.3 and 0.7 means that the relationship is moderate.
Strong Positive Correlation
A value between 0.7 and 0.9 means that the relationship is strong. Between 0.9 and 1, the relationship is very strong. This information can be summarized using the table below
|Value||Size of Strength|
|0.1 – 0.30||Weak|
|0.31 – 0.69||Moderate|
|0.7 – 0.99||Strong|
Once the correlation has been computed, it can either be positive or negative depending on the sign of the correlation coefficient. Moreover, it is important to note that the value of the correlation coefficient ranges between -1 and +1. The closer it is to either -1 or +1 the stronger the relationship.
- Positive correlation exists if one variables increases resulting to a simultaneous increase in the other. I.e. The high numeric values of one variable relate to the high numeric values in the other variable.
- Negative correlation exists if one variables results to a simultaneous decrease in the other variable. I.e. The high numeric values of one variable relate to the low numeric values in the other variable.
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