LINEST DAX Function (Statistical)
Uses the Least Squares method to calculate a straight line that best fits the data, then returns a table describing the line. The equation for the line is of the form: y = m1*x1 + m2*x2 + … + b.
Syntax
| Parameter | Attributes | Description |
|---|---|---|
| ColumnY |
The column of known y-values. |
|
| ColumnX | Repeatable |
The columns of known x-values. |
| Const | Optional |
A constant TRUE/FALSE value specifying whether to force the constant b to equal 0. If true or omitted, b is calculated normally. If false, b is set to 0. |
Return values
The table returned has the following columns:
- SlopeN (one for each X column reference)
- Intercept
- StandardErrorSlopeN (one for each X column reference)
- StandardErrorIntercept
- CoefficientOfDetermination
- StandardError
- FStatistic
- DegreesOfFreedom
- RegressionSumOfSquares
- ResidualSumOfSquares
Remarks
All the column references must be from the same table.
Examples
DEFINE
TABLE Test =
SELECTCOLUMNS (
{
( 2310, 2, 2, 20, 142000 ),
( 2333, 2, 2, 12, 144000 ),
( 2356, 3, 1.5, 33, 151000 ),
( 2379, 3, 2, 43, 150000 ),
( 2402, 2, 3, 53, 139000 ),
( 2425, 4, 2, 23, 169000 ),
( 2448, 2, 1.5, 99, 126000 ),
( 2471, 2, 2, 34, 142900 ),
( 2494, 3, 3, 23, 163000 ),
( 2517, 4, 4, 55, 169000 ),
( 2540, 2, 3, 22, 149000 )
},
"Floor space (x1)", [Value1],
"Offices (x2)", [Value2],
"Entrances (x3)", [Value3],
"Age (x4)", [Value4],
"Assessed value (y)", [Value5]
)
EVALUATE
Test
EVALUATE
LINEST (
Test[Assessed value (y)],
Test[Floor space (x1)],
Test[Offices (x2)],
Test[Entrances (x3)],
Test[Age (x4)]
)
| Floor space (x1) | Offices (x2) | Entrances (x3) | Age (x4) | Assessed value (y) |
|---|---|---|---|---|
| 2,310 | 2 | 2.00 | 20 | 142,000 |
| 2,333 | 2 | 2.00 | 12 | 144,000 |
| 2,356 | 3 | 1.50 | 33 | 151,000 |
| 2,379 | 3 | 2.00 | 43 | 150,000 |
| 2,402 | 2 | 3.00 | 53 | 139,000 |
| 2,425 | 4 | 2.00 | 23 | 169,000 |
| 2,448 | 2 | 1.50 | 99 | 126,000 |
| 2,471 | 2 | 2.00 | 34 | 142,900 |
| 2,494 | 3 | 3.00 | 23 | 163,000 |
| 2,517 | 4 | 4.00 | 55 | 169,000 |
| 2,540 | 2 | 3.00 | 22 | 149,000 |
| Slope1 | Slope2 | Slope3 | Slope4 | Intercept | StandardErrorSlope1 | StandardErrorSlope2 | StandardErrorSlope3 | StandardErrorSlope4 | StandardErrorIntercept | CoefficientOfDetermination | StandardError | FStatistic | DegreesOfFreedom | RegressionSumOfSquares | ResidualSumOfSquares |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 27.64 | 12,529.77 | 2,553.21 | -234.24 | 52,317.83 | 5.43 | 400.07 | 530.67 | 13.27 | 12,237.36 | 1.00 | 970.58 | 459.75 | 6 | 1,732,393,319.23 | 5,652,135.32 |
Related articles
Learn more about LINEST in the following articles:
-
Implementing linear regression in Power BI
The LINESTX DAX function simplifies the calculation of linear regressions. This article explains the correct way to manage its results efficiently. » Read more
Last update: Nov 14, 2024 » Contribute » Show contributors
Contributors: Alberto Ferrari, Marco Russo
Microsoft documentation: https://learn.microsoft.com/dax/linest-function-dax