What statistical method does this tool use?

This tool uses the ordinary least squares (OLS) method to find the best-fitting straight line for your data.

Can I input data as separate lists?

Yes, you can provide X and Y values in separate fields if your data is already organized into two distinct series.

What does the R-squared value represent?

R-squared indicates the proportion of the variance for the dependent variable that's explained by the independent variable in the regression model.

How do I predict a future value?

Enter the desired X value into the 'Prediction X' field, and the calculator will return the corresponding Y value based on the regression formula.

Is there a limit to the number of data points?

While there is no strict limit, the tool is optimized for standard datasets; ensure your input pairs are correctly formatted for accurate processing.

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Math & Numbers

Regression Calculator

Run simple linear regression on paired numeric data and inspect slope, intercept, correlation, and predictions

Execution

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Prepared example runs

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2 examples

Fit a sales trend line

Use monthly ad spend and sales pairs to estimate slope, intercept, and the next predicted value

{"result":{"slope":0.6,"intercept":2.2,"correlation":0.7746,"rSquared":0.6,"predictedY":{"x":6,"y":5.8}}}

Run regression from split X and Y lists

Enter X and Y series separately when the raw data is already stored in two aligned lists

{"result":{"slope":0.69,"intercept":8.5,"correlation":0.987,"rSquared":0.974}}

Inputs

Set the required fields, then run the tool.

5 options

ContentPaste or type the main input values.4

Data PairstextareaOptionalX Values (Optional)textOptionalY Values (Optional)textOptionalPrediction X (Optional)textOptional

SettingsAdjust formats, ranges, numbers, and modes.1

Decimal PrecisionnumberOptional

Result

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Regression Calculator

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Examples that match this tool

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Learn when to use this tool, what it supports, and how real users apply it.

Key facts

Overview

When to use

How it works

Use cases

Examples

1. Sales Trend Analysis

2. Correlation of Separate Data Series

FAQ

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