Example input
(1,2), (2,4), (3,5)Free browser tool
Linear Regression Calculator
Fit a simple ordinary least-squares line from x,y pairs and calculate slope, intercept, correlation, R², and a selected prediction.
Fitted equation
Slope
Intercept
Correlation r
R²
Prediction
LaTeX summary
A fitted line does not prove causation
Simple linear regression summarizes a linear association under specific assumptions. Inspect residuals, influential points, measurement design, and uncertainty before interpreting the line. Predictions far outside the observed x range are extrapolations and can be unreliable.
Worked example and guidance
Use Linear Regression Calculator with a checkable example
Expected output
A fitted line with slope, intercept, and fit statisticsFor the example above, the output should be read as a descriptive or probabilistic calculation for the values and convention entered. Linear Regression Calculator performs the browser-side transformation or calculation, but the mathematical convention, units, domain, and intended publishing format still come from your problem.
How to use it
- Enter or paste a small known dataset or probability parameters before using a larger real-world example.
- Choose the required options and run Linear Regression Calculator; keep the original input available for comparison.
- Read the result together with its sample definition, distribution parameterization, and rounding, then copy or export only after the check passes.
Useful for
- Checking classroom examples
- Summarizing a small dataset
- Validating an independently derived probability
Limits and checks
- Results do not replace statistical model diagnostics
- Sample and population formulas may differ
- Rounded display values should not be reused as full-precision inputs
Linear Regression Calculator FAQ
Does Linear Regression Calculator upload my input?
No. The published tool runs in the browser. Avoid placing confidential material in share URLs or exported files that you later send elsewhere.
How should I verify a Linear Regression Calculator result?
Start with the worked example, inspect the sample definition, distribution parameterization, and rounding, and compare one result with an independent calculation or representation.
What should I do when the input is rejected?
Reduce the input to the smallest failing dataset or probability parameters, check delimiters and supported syntax, then add the remaining structure back one step at a time.
Next steps
Continue after Linear Regression Calculator
Your inputs stay in this browser. Use a related guide or reference to verify the result and reuse it correctly.
How to Calculate a 2×2 DeterminantCalculate the determinant of a 2×2 matrix, interpret zero versus nonzero results, and verify signs and row operations.Simple Regression SlopeComputes the least-squares slope in simple linear regression.ₐ Subscript ARepresents subscript a as a standalone Unicode character for compact linear notation.
Maintained reference
How this tool was checked
Tool documentation records what was tested, which sources define compatibility, and where the browser utility stops.
See the editorial and review policy, the source hierarchy, or submit a correction.
Continue this topic
Statistics & Probability Notation
Distinguish samples, populations, random variables, expectations, variation, probability rules, and distributions.