Calculates the linear regression of a set, and returns the value of the slope in the regression line, y = ax + b.
A valid Multidimensional Expressions (MDX) expression that returns a set.
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.
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.
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 LinRegSlope function evaluates the specified set against the first numeric expression to obtain the values for the y-axis. The function then evaluates the specified set expression against the second numeric expression, if specified, to get the values for the x-axis. If the second numeric expression is 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 LinRegSlope function returns the slope of the regression line (a in the previous equation).
|The LinRegSlope function ignores empty cells or cells that contain text or logical values. However, the function includes cells with values of zero.|
The following example returns the slope of a regression line for the unit sales and the store sales measures.
LinRegSlope(LastPeriods(10),[Measures].[Unit Sales],[Measures].[Store Sales])