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.

Pearson correlation is also limited by its applicability to only interval and ratio levels of measurement. This means it isn't suitable for ordinal or nominal data, which are common in surveys and ...