Linear Regression Calculator

The Linear Regression Calculator is a go-to tool whenever you need to fits a least-squares line, returns slope/intercept, and predicts any y value.. It focuses on regression, trendline, slope, prediction, which means searchers often arrive with intent-heavy queries like “how to linear regression calculator quickly” or “linear regression calculator formula explained.” Use this calculator to capture those intents and keep learners on the page long enough to send positive engagement signals.

Under the hood, the calculator leans on the calculator centers your data, computes the best-fit slope m and intercept b, and reports the coefficient of determination r² for that simple linear model.—that’s why we surface the full expression (“m = Σ((x − x̄)(y − ȳ)) / Σ(x − x̄)² b = ȳ − m x̄ ŷ = b + mx”) directly above the interactive widget. When you embed that formula inside H2s or supporting paragraphs, you help both humans and crawlers understand what entity the page represents.

Execution matters as much as the math. Follow the built-in procedure: Step 1: Enter X values separated by commas, spaces, or new lines. Step 2: Enter the matching Y values in the same order and length. Step 3: Optionally set an X value to forecast so the tool returns ŷ for that input.. Each numbered instruction is short enough to scan on mobile but descriptive enough to satisfy Google’s Helpful Content guidelines. Encourage students to jot down units, double-check signs, and compare answers with the Example card to build confidence.

The Example section itself is packed with semantic clues: “X = 1, 2, 3, 4, 5; Y = 1.8, 3.2, 4.4, 7.1, 9.0; Predict x = 6” leading to “Slope ≈ 1.82, Intercept ≈ 0.04, R² ≈ 0.98, Prediction ≈ 10.0.” Pepper similar narratives throughout your copy (and internal links from related guides) so canonical search intents are answered without pogo-sticking back to Google.