INGENIA

PRB-25

Correlation

Pearson rho.

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GoverningCorrelation

Governing equation

rho=mathrmcov/(sigmaxsigmay)\\rho=\\mathrm{cov}/(\\sigma_x\\sigma_y)

cov∈[−20,20]cov \in \left[-20, 20\right]

where

cov
cov (—)
sx
sx (—)
sy
sy (—)
rho
Correlation (—)

The figure, part by part

Each numbered marker wears the color of its card. Hover a card to light the marker. Tap a marker to jump to that card. The slider walks a red point along the curve; Animate drawing traces it like a pen.

PRB-25 · curve
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①

Governing law — red

rho=mathrmcov/(sigmaxsigmay)\\rho=\\mathrm{cov}/(\\sigma_x\\sigma_y)

cov∈[−20,20]cov \in \left[-20, 20\right]

cov=−20cov = -20rho=−1.667rho = -1.667

②

Domain of the variable — blue

covmin⁡=−20,covmax⁡=20cov_{\min} = -20,\quad cov_{\max} = 20

cov∈[−20,20]cov \in \left[-20, 20\right]

cov=−20cov = -20cov=−20cov = -20

③

Response curve — green

rho=mathrmcov/(sigmaxsigmay)\\rho=\\mathrm{cov}/(\\sigma_x\\sigma_y)

cov∈[−20,20]cov \in \left[-20, 20\right]

cov=−20cov = -20rho=−1.667rho = -1.667

④

Rate of change — amber

drhodcov\frac{\mathrm{d}rho}{\mathrm{d}cov}

cov∈[−20,20]cov \in \left[-20, 20\right]

cov=−19.75cov = -19.75rho′=0.083rho^{\prime} = 0.083

Lecture brief

Historical brief

Bernoulli trials, Poisson, Gauss, Bayes and Shannon entropy turned chance into a calculus of belief and noise. The lab computes likelihood, interval and information in SI-free counts. This sheet (PRB-25 — Correlation) is the form associated with Correlation. Working symbols: covcov, sxsx, sysy →\rightarrow rhorho. Pearson rho. Pedagogical SI sheet with a live model and a swept parameter.

Purpose

Purpose: compute rhorho from covcov, sxsx, sysy in Probability & statistics via rho=mathrmcov/(sigmaxsigmay)\\rho=\\mathrm{cov}/(\\sigma_x\\sigma_y) Pearson rho. Use it when a real probability & statistics question must be answered in SI before a code check.

Live realistic example

In symbols

Live case. Given cov=2.000 —cov = 2.000\,\mathrm{—}, sx=3.000 —sx = 3.000\,\mathrm{—}, sy=4.000 —sy = 4.000\,\mathrm{—}, the governing relation rho=mathrmcov/(sigmaxsigmay)\\rho=\\mathrm{cov}/(\\sigma_x\\sigma_y) yields rho=0.167 —rho = 0.167\,\mathrm{—}. One governing identity, SI units, a single sweep on the sheet. Move a slider: the numbers are this situation, not a canned story.

Calculator

Inputs

Outputs

  • Correlation rho0.167 —
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PRB-25 · curve
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Narration of this film

One governing identity, SI units, a single sweep on the sheet.

Pearson rho. Pedagogical SI sheet with a live model and a swept parameter.

Reading speed

Watch on YouTube