LINESTX 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 data result from expressions evaluated for each row in a table.
Syntax
| Parameter | Attributes | Description |
|---|---|---|
|
Table Iterator |
The table containing the rows for which the expressions will be evaluated. |
|
|
ExpressionY Row Context By Expression |
The expression to be evaluated for each row of the table, to obtain the known y-values. |
|
|
ExpressionX Row Context By Expression |
Repeatable |
The expressions to be evaluated for each row of the table, to obtain the 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 expression)
- Intercept
- StandardErrorSlopeN (one for each X expression)
- StandardErrorIntercept
- CoefficientOfDetermination
- StandardError
- FStatistic
- DegreesOfFreedom
- RegressionSumOfSquares
- ResidualSumOfSquares
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
LINESTX (
Test,
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 LINESTX 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: Oct 22, 2025 » Contribute » Show contributors
Contributors: Alberto Ferrari, Marco Russo
Microsoft documentation: https://learn.microsoft.com/dax/linestx-function-dax