Page tree
Skip to end of metadata
Go to start of metadata

The correlation coefficient indicates the extent to which two metrics are related to each other, in percentage terms between -100% and 100%. It is mainly expressed as:

  • A higher relation between metrics, if the value is greater in absolute terms (0% means no relation; 100% means perfect correspondence).
  • A positive sign, if an increase in the first metric corresponds to an increase in the second.
  • A negative sign, if an increase in the first metric corresponds to a decrease in the second.


Mathematically, the correlation calculated in TrueSight Capacity Optimization is the Pearson Correlation Coefficient. It is reported as a positive or negative percentage – and not as a value between -1 and 1, as in the original definition – for better understanding.

Correlation analysis

Correlation analysis is the process of finding correlations between variables and determining their intensity.

In correlation analysis, metrics are considered in couples. Every value for the first metric is paired with a value of the second metric that occurred at the same time. These value couples are then plotted on a chart to show the effect of the growth of first metric on the behavior of the second. You can filter the data to identify and eventually remove any outliers.

The following types of correlation analyses are available in BMC TrueSight Capacity Optimization: