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STEYX - chart function

STEYX() returns the aggregated standard error when predicting y-values for each x-value in a linear regression given by a series of coordinates represented by paired numbers in the expressions given by y_value and x_value.


STEYX([{SetExpression}] [DISTINCT] [TOTAL [<fld{, fld}>]] y_value, x_value)

Return data type: numeric


  • y_value: The expression or field containing the range of known y-values to be measured.
  • x_value: The expression or field containing the range of known x-values to be measured.
  • SetExpression: By default, the aggregation function will aggregate over the set of possible records defined by the selection. An alternative set of records can be defined by a set analysis expression.
  • DISTINCT: If the word DISTINCT occurs before the function arguments, duplicates resulting from the evaluation of the function arguments are disregarded.
  • TOTAL: If the word TOTAL occurs before the function arguments, the calculation is made over all possible values given the current selections, and not just those that pertain to the current dimensional value, that is, it disregards the chart dimensions. The TOTAL qualifier may be followed by a list of one or more field names within angle brackets <fld>. These field names should be a subset of the chart dimension variables.

    Defining the aggregation scope


The parameter of the aggregation function must not contain other aggregation functions, unless these inner aggregations contain the TOTAL qualifier. For more advanced nested aggregations, use the advanced function Aggr, in combination with a specified dimension.

Text values, NULL values and missing values in any or both pieces of a data-pair result in the entire data-pair being disregarded.


Add the example script to your app and run it.


LOAD * inline [














] (delimiter is '|');


Then build a straight table with KnownY and KnownX as dimension and Steyx(KnownY,KnownX) as measure. Totals should be enabled in the properties of the table.


The result of the STEYX(KnownY,KnownX) calculation is 2.071 (If number formatting is set to 3 decimal places.)

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