Linear Regression Covariance [Cov]

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The Linear Regression Covariance function determines the extent of a linear relationship of a field to time over a given period of time using statistical covariance. which is the average of the products of the deviations. Parameters ------------------ Data          The data to use in the relationship. This is typically 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 field is increasing over time, negative values indicate the field is decreasing over time. The relationship at the beginning of a data series is not defined until there are enough values to fill the given period. Note that this function uses the bar number and not the actual number of days. This makes it effective for determining trends over trading days.