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Correlation calculadora (Pearson r)

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Pearson r
0.7746
5 paired values

Compute Pearson’s correlation coefficient r between two data sets, with strength, direction and coefficient of determination R² explained.

Written by Editorial DeskReviewed by Laura Whitmore

How it works

correlation calculadora — the short version

We built Correlation calculadora (Pearson r) because the other tools for this job either cost a subscription or came with a consent banner the size of a small novel.

Getting the arithmetic right first time saves a re-do on paper. Write the formula at the top of the page — then crunch the numbers and the rest of this page explains what the answer means.

Compute Pearson’s correlation coefficient r between two data sets, with strength, direction and coefficient of determination R² explained.

A worked example, step by step

Consider a realistic scenario and follow it through:

Compute Pearson’s correlation coefficient r between two data sets, with strength, direction and coefficient of determination R² explained.

Moments this tool earns its keep

Correlation calculadora (Pearson r) is aimed at people arriving with questions like these:

  • "Pearson correlation formula"
  • "R squared"
  • "Correlation vs causation"
  • "What is correlation"
  • "How to calculate correlation"
  • "Correlation formula"

Where the number stops being useful

Every tool has an edge where it stops being the right answer. Correlation calculadora (Pearson r) is no exception:

  • For legally binding tax or medical decisions — cross-check with HMRC, NHS or a qualified professional.
  • For very large or very small extremes the rounding error outgrows the useful precision.
  • When the underlying rate or threshold has changed since the page was last reviewed — always verify with the primary source.
  • When the input you have is already a derived figure (net of something) — feeding it in as "gross" will double-subtract.

Five things that trip everyone up

Every time you crunch the numbers for a new scenario, one of these creeps in — it's worth knowing them ahead of time.

  • Assuming the UK and US versions of the same unit are interchangeable — they're not.
  • Typing a comma where the tool expects a dot (or vice versa).
  • Rounding early — particularly painful in percentages and compound growth.
  • Ignoring the time window: a 'per year' answer makes no sense with a monthly input.
  • Treating the answer as private: screenshots are fine, but the URL always reruns cleanly.

The sources behind the numbers

Where the maths needs an external authority, we cross-check against:

  • NIST
  • Khan Academy

Works well alongside

If this question keeps coming up for you, the same cluster of tools usually comes next:

  • Standard Deviation calculadora — Measure the spread of a data set with sample or population standard deviation.
  • Mean (Average) calculadora — Add up your values and divide by how many there are — we show each step.
  • Z-Score calculadora — Convert a raw score into a z-score using z = (x − μ) / σ, plus the two-tailed p-value from the standard normal distribution.

How we keep this accurate

Our calculadoras run on pure, unit-tested functions — the same logic lives in the browser and in the CI test suite. When tax rates, thresholds or official figures move, the update lands within 24 hours of the announcement. You can read the editorial policy and corrections policy.

Found an out-of-date number on Correlation calculadora (Pearson r) or anywhere else in the Maths toolkit? Send it to the editorial desk and we'll patch it. Or browse the full calculadora directory for the next tool you need.

Frequently asked questions

Pearson correlation formula?
In one line: feed the figures into the Correlation calculadora (Pearson r) widget and it'll show the working. Compute Pearson’s correlation coefficient r between two data sets, with strength, direction and coefficient of determination R² explained.
R squared?
Put simply, open the Correlation calculadora (Pearson r) widget at the top of the page. Compute Pearson’s correlation coefficient r between two data sets, with strength, direction and coefficient of determination R² explained.
Correlation vs causation?
Short answer: this question usually arrives alongside Standard Deviation calculadora, Mean (Average) calculadora, Z-Score calculadora. The Correlation calculadora (Pearson r) handles the specific case above; the others cover adjacent ground.
What is correlation?
Quick version: every figure is cross-checked against NIST and the wider data. If you notice a stale rate, email the editorial desk and we'll patch it in under 24 hours.
How to calculate correlation?
Practically speaking, yes, everything runs in your browser. No inputs are sent to our servers or any third party, nothing is logged and nothing persists after you close the tab.
Correlation formula?
Here's the plain-English summary: Correlation calculadora (Pearson r) is free to use, free to share and free to embed — pass the URL around a class, a slack channel or a family chat. The editorial policy covers attribution.
Correlation example?
In one line: the short method: write the inputs in the units shown, run the calculation, then sense-check the answer against an order-of-magnitude estimate in your head.
Correlation worked example?
Put simply, if the result surprises you, run it a second time with slightly different inputs — small swings often reveal a unit or rounding issue in the original figures.
Correlation explained?
Short answer: a calculadora is a sanity check, not a verdict. For anything legally binding — contracts, tax filings, medical decisions — bring the figure to a qualified professional as a starting point.
Correlation definition?
Quick version: Compute Pearson’s correlation coefficient r between two data sets, with strength, direction and coefficient of determination R² explained. The page walks through the method in full so you can answer follow-up questions without guessing.
Correlation meaning?
Practically speaking, open the Correlation calculadora (Pearson r) widget at the top of the page. Compute Pearson’s correlation coefficient r between two data sets, with strength, direction and coefficient of determination R² explained.
Correlation step by step?
Here's the plain-English summary: open the Correlation calculadora (Pearson r) widget at the top of the page. Compute Pearson’s correlation coefficient r between two data sets, with strength, direction and coefficient of determination R² explained.

References

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