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# RegressionSlope

> Use the Sigma RegressionSlope function to calculate the slope of the linear regression line.

This function isn't compatible with all data platform connections. To check if your connection supports it, see [Supported data platforms and feature compatibility](/docs/region-warehouse-and-feature-support#supported-data-platforms-and-feature-compatibility).

The **RegressionSlope** function calculates the slope of the linear regression line. This slope can be used to estimate how changes in one variable affects another.

The **RegressionSlope** function is an aggregate function.

Aggregate functions evaluate one or more rows of data and return a single value.

In a table element, the aggregate is calculated for each grouping. For information on how to add a grouping with an aggregate calculation to a table, see [Group columns in a table](/docs/create-and-manage-tables#group-columns-in-a-table).

In a table with no groupings, the aggregate is calculated for each row. For information on how to calculate summary statistics across all rows in a table, see [Add summary statistics to a table](/docs/create-and-manage-tables#add-summary-statistics-to-a-table).

To learn more about using aggregate functions, see [Building complex formulas with grouped data](https://www.sigmacomputing.com/resources/training-videos/table-grouping-and-functions#complex-formulas).

## Syntax

```
RegressionSlope(y, x)
```

### Function arguments

|       |                                                                           |
| :---- | :------------------------------------------------------------------------ |
| **y** | The dependent variable, expected to change as a result of changes in `x`. |
| **x** | The independent variable.                                                 |

## Notes

* The function returns null if the arguments used provide only a single data point.

## Example

A table contains an *AdSpend* column (tracking monthly advertising spend) and a *Revenue* column (tracking month revenue). You can use the **RegressionSlope** function to find the linear trend of *Revenue* as a function of *AdSpend*.

```
RegressionSlope([Revenue], [AdSpend])
```

A positive output means that as monthly advertising spend increases, monthly revenue increases. A negative output that as monthly advertising spend increases, monthly revenue decreases.