Linear XY Regression Covariance [XY-Cov]

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The Linear XY Regression Covariance function determines the extent of a linear relationship between two fields using statistical covariance. which is the average of the products of the deviations. Parameters ------------------ Data 1       One set of data to use in the relationship. This is typically a field in a data series or a calculated value. Data 2       The other set of data to use. Also a field in a data series or a calculated value. Period        The number of bars of data to include in the relationship, including the current value.                   For example, a period of 3 includes the current value and the two previous values. Function Value ------------------------ Positive values indicate the fields trending in the same direction, negative values indicate the fields are trending in opposite directions. The relationship at the beginning of a data series is not defined until there are enough values to fill the given period.