# Calculate the Slope of the Regression Line

Use SAQL to perform linear analysis on your data to find the line that best fits the data. Then use .`regr_slope` to return the slope of this line.

## Example - Calculate the Relationship Between Number of Activities and Deal Amount

Suppose that you have a dataset that includes the number of activities (such as meetings) and the won opportunity amount.

![Sample scatter plot.](https://a.sfdcstatic.com/developer-website/sfdocs/analytics/media/bi_dev_guide_saql/bi_saql_fn_agg_regint.png)

How much bigger will the deal size be for each extra activity? `regr_slope` performs a linear analysis on your data then calculates the slope (that is, the increased amount you win for each extra activity).

```nolang
q = load "data/sales";
q = group q by all;

--trunc() truncates the result to two decimal places
q = foreach q generate trunc(regr_slope('Amount', 'NumActivities'),2) as 'Gain per Activity';
```

Based on your existing data, every extra activity that you have tends to increase the deal size by $1.45 million, on average.

![Diagram showing slope of a regression line.](https://a.sfdcstatic.com/developer-website/sfdocs/analytics/media/bi_dev_guide_saql/bi_saql_fn_agg_slope.png)

**See Also**

- [regr_slope()](/docs/analytics/bi-dev-guide-saql/guide/bi-saql-fn-agg-rs.md)