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Visual Guides/Correlation & Covariance
UNIT 9: ASSOCIATION & DEPENDENCE

Correlation & Covariance

Explore Pearson r, Spearman ρ, Kendall τ, and covariance through interactive scatter plots. Uncover Anscombe's Quartet, four datasets with identical statistics but wildly different shapes, and learn why correlation never implies causation.

Scatter interaction
Anscombe's Quartet viewed
Causation explored (0/2)
Spearman or Kendall toggled

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14345372918.029497091XY

Pearson r

0.513

Moderate positive linear association. X explains 26% of variation in Y.

Covariance (sample, n-1)

115.37

R²

0.263

p-value

0.021

Significance

Significant

OLS Line

ŷ = 0.569x + 16.146

Rank Correlations

n = 20 points

← Nonparametric TestsChi-Square Test →