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A coefficient of zero means there is no correlation between two variables. A coefficient of -1 indicates strong negative correlation, while +1 suggests strong positive correlation.
The purpose of correlation analysis is to check the association between two items. This can be useful in determining accuracy.
A perfect positive correlation would be exactly 1; 1.00 means "0.995 or higher", which is quite strong indeed.
No, it indicates an extremely strong positive correlation.
Correlation Coefficient.