Embeddable Widget
Correlation (Pearson & Spearman) Calculator — Free Embed
Let readers measure the relationship between two variables without leaving your page. This widget computes both Pearson's r (linear) and Spearman's rho (rank-based), the significance test, and the coefficient of determination R² — with an APA-formatted summary they can lift straight into a manuscript.
Copy & paste this embed code
Paste it into any HTML page, blog post, Notion embed, or website builder. No account needed.
<iframe src="https://statmate.org/embed/correlation" width="100%" height="1120" style="border:1px solid #e5e7eb;border-radius:12px;max-width:760px" loading="lazy" title="Correlation Calculator by StatMate"></iframe>Live preview
What the Correlation (Pearson & Spearman) calculator computes
- Pearson product-moment correlation (r)
- Spearman rank-order correlation (rho) for non-linear or ordinal data
- Two-tailed p-value and degrees of freedom
- R² (proportion of variance explained)
- APA 7th edition result string
How to embed it
- Copy the embed code above.
- Paste it into your page's HTML where you want the calculator to appear.
- Adjust
widthandheightif needed — the widget is responsive. - Publish. The calculator runs entirely in your visitor's browser.
Who uses it
- Marketing/analytics blogs showing how two metrics move together
- Psychology and social-science course pages
- Data-literacy tutorials that need a hands-on example
Frequently asked questions
- When should I use Spearman instead of Pearson?
- Use Spearman when the relationship is monotonic but not linear, when data are ordinal, or when outliers distort Pearson's r. The widget reports both so visitors can compare.
- How many data points can I enter?
- The widget accepts paired X/Y lists of arbitrary length; it handles typical datasets of dozens to thousands of pairs in the browser.
- Is attribution required?
- Yes — the 'Powered by StatMate' link must remain. Embedding is otherwise free.
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