Statistics formula reference

Simple Regression Intercept

Computes the intercept of a fitted simple regression line.

Open in editor
LaTeXb_0=\bar y-b_1\bar x

Variables

  • b0: intercept
  • b1: slope
  • x̄,ȳ: sample means

How to use this formula

Computes the intercept of a fitted simple regression line.

Important notes

  • The intercept may have little practical meaning when x=0 is outside the data range.
  • Use the same slope and means from the fitted sample.

Quick example

The fitted line is ŷ=b0+b1x.

Applicability, worked calculation, and verification

Assumptions and domain checks

  • The intercept may have little practical meaning when x=0 is outside the data range.
  • For the Simple Regression Intercept, identify whether each quantity is a sample statistic, population parameter, estimator, or model value, and check the method assumptions.

Worked example

Input

Output

The fitted line is ŷ=b0+b1x.

Common mistakes

  • Do not substitute sample and population quantities interchangeably in Simple Regression Intercept; map every symbol to its definition first.
  • For the Simple Regression Intercept, do not interpret a descriptive statistic as a causal or population conclusion without the sampling and model assumptions.

Continue the workflow

Use Simple Regression Intercept in your own work

  1. Check the domainMatch the variables and assumptions to the problem before substituting values.
  2. Copy the exact notationPreserve grouping, signs, and exponents in b_0=\bar y-b_1\bar x.
  3. Edit or convertOpen the expression in the LaTeX editor, then export it for your document or web page.

Review and verification

Last reviewed: 2026-07-23

Automated quality check: Kept noindex until the missing evidence is supplied.

Formula references

Frequently asked questions

What is the Simple Regression Intercept used for?

Computes the intercept of a fitted simple regression line.

Can I copy this formula as LaTeX?

Yes. Copy b_0=\bar y-b_1\bar x or open it in the LaTeX editor.

What should I check before using it?

Confirm that each variable, unit, domain restriction, and assumption matches the problem.

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