Zero Correlation Does NOT Mean Independent (Proof in 50 Seconds)

Two variables can be perfectly dependent and still have a correlation of zero.

Introduction

Linked, Yet Zero Correlation?

Two variables can be perfectly linked, yet have zero correlation.

  • Perfect link
  • Zero correlation

Set Up: y = x²

Take values of x spread evenly from minus three to three. Let y equal x squared.

  • x from -3 to 3
  • y = x squared

A Perfect Parabola

Plot it and you get a perfect parabola. Know x, and you know y exactly. That is total dependence.

  • Know x, know y
  • Total dependence

Correlation Equals Zero

Now compute the correlation coefficient. It comes out at zero.

  • r = 0

The Two Halves Cancel

Why? The left half slopes downward. The right half slopes upward. The two trends cancel out exactly.

  • Left slopes down
  • Right slopes up
  • Trends cancel

Only Straight Lines

Correlation only measures straight-line association. It is blind to curves.

  • Linear association only
  • Blind to curves

One-Way Implication

So zero correlation does not mean independent. Independence does imply zero correlation, but never the reverse.

  • Independent ⇒ zero correlation
  • Reverse is false

Plot First. Lesson 38 Next

Always plot your data first. Lesson thirty-eight digs deeper into covariance and dependence. Follow to keep going.

  • Always plot your data
  • Lesson 38: covariance and dependence