--- title: "LinRegVariance (MDX) | Microsoft Docs" ms.date: 06/04/2018 ms.prod: sql ms.technology: analysis-services ms.custom: mdx ms.topic: reference ms.author: owend ms.reviewer: owend author: minewiskan --- # LinRegVariance (MDX) Calculates the linear regression of a set, and returns the variance associated with the regression line, y = ax + b. ## Syntax ``` LinRegVariance(Set_Expression, Numeric_Expression_y [ ,Numeric_Expression_x ] ] ) ``` ## Arguments *Set_Expression* A valid Multidimensional Expressions (MDX) expression that returns a set. *Numeric_Expression_y* A valid numeric expression that is typically a Multidimensional Expressions (MDX) expression of cell coordinates that return a number that represents values for the y-axis. *Numeric_Expression_x* A valid numeric expression that is typically a Multidimensional Expressions (MDX) expression of cell coordinates that return a number that represents values for the x-axis. ## Remarks Linear regression, that uses the least-squares method, calculates the equation of a regression line (that is, the best-fit line for a series of points). The regression line has the following equation, where a is the slope and b is the intercept: y = ax+b The **LinRegVariance** function evaluates the specified setagainst the first numeric expression to obtain the values for the y-axis. The function then evaluates the specified setagainst the second numeric expression, if specified, to obtain the values for the x-axis. If the second numeric expressionis not specified, the function uses the current context of the cells in the specified set as the values for the x-axis. Not specifying the x-axis argument is frequently used with the Time dimension. After obtaining the set of points, the **LinRegVariance** function returns the statistical variance that describes the fit of the linear equation to the points. > [!NOTE] > The **LinRegVariance** function ignores empty cells or cells that contain text or logical values. However, the function includes cells with values of zero. ## Example The following example returns the statistical variance that describes the fit of the linear equation to the points for the unit sales and the store sales measures. ``` LinRegVariance(LastPeriods(10),[Measures].[Unit Sales],[Measures].[Store Sales]) ``` ## See Also [MDX Function Reference (MDX)](../mdx/mdx-function-reference-mdx.md)