# Linear Regression

Fit a simple linear regression and return the formula. Optionally, use one or more group\_by columns to create a regression per unique grouping.

Currently, only supports a single independent variable.

## Parameters

| Name      | Type         | Description                                                                                                                         | Is Optional |
| --------- | ------------ | ----------------------------------------------------------------------------------------------------------------------------------- | ----------- |
| group\_by | column\_list | Columns to group by before building the linear regression model. Use this field to create multiple models (one per unique grouping) | True        |
| y         | column       | Dependent variable for the linear regression                                                                                        |             |
| x         | column       | Independent variable for the linear regression                                                                                      |             |

## Example

```python
internet_sales = rasgo.get.dataset(74)

ds1 = internet_sales.aggregate(
    group_by=['PRODUCTKEY','CUSTOMERKEY'],
    aggregations={'SALESAMOUNT':['AVG'],
                'TOTALPRODUCTCOST':['AVG']})

ds2 = ds1.linear_regression(
  x = 'SALESAMOUNT_AVG',
  y = 'TOTALPRODUCTCOST_AVG')

ds2.preview()
```

## Source Code

{% embed url="<https://github.com/rasgointelligence/RasgoTransforms/blob/main/rasgotransforms/rasgotransforms/transforms/linear_regression/linear_regression.sql>" %}


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