Linear Regression Calculator

Calculate the line of best fit and visualize your data.

✓ Scatter Plot Visualization✓ Step-by-Step Calculations✓ Correlation Coefficient

Linear Regression Calculator

Enter data points (x,y) to calculate the linear regression equation

Index
X Value
Y Value
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Key Features

  • Calculate the slope and y-intercept of the regression line.
  • Visualize data points and the regression line on a scatter plot.
  • View detailed, step-by-step calculations.
  • Calculate the correlation coefficient (r).
  • Dynamically add and remove data points.
  • Load example calculations.
  • User-friendly interface.

Why Use the Linear Regression Calculator?

This linear regression calculator is useful for analyzing the relationship between two variables. It's a valuable tool for students, researchers, and anyone working with statistical data.

Frequently Asked Questions

What is linear regression?

Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables by fitting a linear equation to observed data.

How do I interpret the correlation coefficient (r)?

The correlation coefficient (r) measures the strength and direction of a linear relationship between two variables. Values range from -1 to +1. A value close to +1 indicates a strong positive correlation, a value close to -1 indicates a strong negative correlation, and a value close to 0 indicates a weak or no linear correlation.

How many data points do I need?

You need at least two data points to calculate a regression line. More data points generally lead to a more reliable model.

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