> For the complete documentation index, see [llms.txt](https://docs.graphite-note.com/graphite-note-documentation/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.graphite-note.com/graphite-note-documentation/graphite-note-models/advanced-ml-model-settings/regressors/regressors-in-action.md).
# Regressors in action
Regressors help time series forecasting models “think ahead” by adding relevant external factors that influence the predicted outcome—such as promotions, price changes, or weather conditions. This makes your forecast more intelligent and better aligned with real-world scenarios.
#### 📊 Key Takeaways from Our Case Study:
* Adding regressors to a sales forecast increased accuracy by 36%.
* Regressors helped the model understand why sales might spike or drop—beyond just seasonal patterns.
* They capture cause-effect relationships that time-based signals alone can’t fully explain.
* Results were visible immediately: better performance metrics like lower error rates (e.g., MAE, RMSE) and more accurate predictions during key events.
***
#### ⚡ Before vs After Regressors
Below you can see a direct visual comparison of model performance before and after applying regressors:
***
#### ✅ Why It Matter?
Regressors turn a simple forecast into a strategic tool. They give your model context about what’s happening in the business, allowing it to:
* Anticipate demand shifts more accurately
* Understand the impact of external drivers
* Provide more actionable insights for planning and decision-making
***
#### 📖 Full Article
Read the full story and real-life example on our blog:
[Forecasting That Thinks Ahead: How Regressors Improved Accuracy by 36%](https://graphite-note.com/forecasting-that-thinks-ahead-how-regressors-improved-accuracy-by-36/)\
\
---
# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.
## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation by asking a question.
Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:
```
GET https://docs.graphite-note.com/graphite-note-documentation/graphite-note-models/advanced-ml-model-settings/regressors/regressors-in-action.md?ask=&goal=
```
`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.
Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
