In other words, the values cannot exceed 1.0 or be less than -1.0. A correlation of -1.0 indicates a perfect negative correlation, and a correlation of 1.0 indicates a perfect positive correlation.

However, challenges must be overcome so that it is possible to use self-sensing composite to monitoring real structures, for example, to mitigate and reduce the influence of external environmental ...

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Simply put, if the correlation is expected to be very high (e.g., close to 1) and in the sample it is not, then such association should not be considered strong (even when the value of the correlation ...

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Pearson’s correlation is a commonly used statistical technique for investigating the strength and direction of the relationship between two quantitative variables, such as the relationship between age ...