LinRegPoint (PQL)

Calculates the linear regression of a set, and returns the value of the y-intercept in the regression line, y = ax + b for a particular value of x

Syntax

LinRegPoint( <Numeric> , <List> , <Numeric> , OPTIONAL <Numeric> )

* Click on the function's arguments above for more details on the input values.

Comments

The LinRegX functions calculate the linear regression for the supplied values / measures, and then return one of the values associated with that regression. The linear regression functions are:

Arguments

LinRegPoint returns the y-value for a particular value of x for the linear regression. It requires the following arguments:

  • The first Numeric parameter provides the value of x.
    • The value can be returned from a hierarchy as a numeric expression.
  • The List parameter is a list or set of elements from an existing hierarchy in the model.
    • The hierarchy name needs to be a Unique Name with the format [dimension].^[hierarchy] or [table].[column].
  • The Numeric parameters following the set are each evaluated against the specified set to obtain the values for the y- and x-axes, respectively.
    • The values can be returned from a hierarchy as a numeric expression.
    • If the optional numeric value is not supplied, the current context of the cells is used for the x-axis.
Remarks
Different Function types

This function is like the MDX LinRegPoint function, returning the value of y in the regression line, y = ax + b.

Examples

The following example returns the predicted value of Fact Sales over the past ten periods based on the statistical relationship between Fact Sales and Profits.

LinRegPoint( [Measures].[Fact Sales], Tail([Date].[dateKey].allmembers, 10), [Measures].[Fact Sales], [Measures].[Profit] )

Tip: Alternatively, use Last in place of Tail. Last and Tail are aliases for the function that retrieves the last X elements in a given hierarchy. For more information, see Tail (PQL).