Correlations

Correlation: Positively correlated variables tend to move together, negatively correlated variables move inversely to each other, and uncorrelated variables move independently of each other.

The Pearson Correlation Coefficient quantifies the estimated strength of the linear association between two variables. It ranges from +1 to -1: +1 indicates a perfect positive linear correlation, -1 a perfect negative linear correlation, 0 indicates no linear correlation. The chart in the background represents the change in the correlation over time (rolling correlation with a rolling window width of 20 data points).

The Confidence Interval represents the interval in which the true Pearson correlation coefficient will be located with 95% probability. If the confidence interval includes the value of zero (it crosses the dashed line), the correlation can be regarded as non-significant (not different from 0).

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