Linear regression is a fundamental statistical and machine learning technique used to model the relationship between a dependent variable and one or more independent variables. This tool provides a simple and intuitive way to understand and predict trends in data.

Key Features

  • Simple Interface: Easy to use and understand, even for beginners.
  • Multiple Variables: Support for both simple and multiple linear regression.
  • Graphical Output: Visualize the regression line and data points.
  • Statistics: Provides detailed statistical output including coefficients, p-values, and R-squared.

How to Use

  1. Input Data: Enter your data in the table provided.
  2. Select Model: Choose between simple or multiple linear regression.
  3. Run Analysis: Click the "Run" button to generate the regression line and statistical output.

Example

Here's an example of a simple linear regression analysis using our tool:

  • Dependent Variable: Sales
  • Independent Variable: Advertising Spend
| Advertising Spend | Sales |
|-------------------|-------|
| 1000              | 500   |
| 1500              | 750   |
| 2000              | 1000  |

Linear Regression Example

Learn More

For more information on linear regression and its applications, check out our comprehensive guide on Linear Regression Basics.

If you have any questions or feedback, please don't hesitate to contact us at contact@ullrai.com.