---
title: "Logistic regression lines"
slug: "logistic-regression-lines"
updated: 2025-01-20T14:48:31Z
published: 2025-01-20T14:48:31Z
canonical: "userguide.dataclassroom.com/logistic-regression-lines"
---

> ## Documentation Index
> Fetch the complete documentation index at: https://userguide.dataclassroom.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Logistic regression lines

Under the list of options for Regression Lines, you'll see the **Logistic Regression** option.

![](https://cdn.document360.io/62f8f41e-e041-42c4-b9bc-8ae1eb45d064/Images/Documentation/image-1737383908829.png)

This can be used to draw a **logistic regression curve** ([Wikipedia](https://en.wikipedia.org/wiki/Logistic_regression)) based on your data which needs to be in the form:

- **X**: A numeric variable
- **Y**: A numeric variable with the **only values being 0 and 1**

Note: The Y variable is not CategoricalAlthough the Y variable could be considered Categorical, as its values represent just two outcomes, the math requires that it be considered a numeric value, and indeed the regression curve will have many values between 0 and 1.

Here is an example of such a curve:

![](https://cdn.document360.io/62f8f41e-e041-42c4-b9bc-8ae1eb45d064/Images/Documentation/image-1737384299381.png)