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Scatter Diagrams

Year 9 📈 Statistics & Probability  Plot scatter diagrams, describe correlation, draw lines of best fit.

📊 Drawing and Reading Scatter Diagrams

A scatter diagram plots two variables against each other to investigate a relationship — called correlation.

  • Positive correlation: as $x$ increases, $y$ increases
  • Negative correlation: as $x$ increases, $y$ decreases
  • No correlation: points are scattered with no clear pattern
💡 Always describe correlation as strong or weak as well as positive or negative.

📈 Line of Best Fit

A line of best fit models the relationship and is used to make predictions.

  1. Draw the line so roughly equal numbers of points are above and below it.
  2. The line should pass through (or near) the mean point $(\bar{x}, \bar{y})$.
  3. Use the line to predict values: interpolation (within data range) is more reliable than extrapolation (outside range).
💡 Extrapolation is unreliable because the relationship may not continue outside the data range.

⚠️ Correlation is Not Causation

Two variables may appear related simply because both depend on a third variable.

Classic example: Ice cream sales and drowning rates both increase in summer — but eating ice cream does not cause drowning. The third variable is hot weather.
💡 Always ask: could a third variable (a lurking variable) explain the correlation?
🎯 Ready to test yourself? Click the Quiz tab above to answer questions on this topic!
🎬 Interactive Demonstration — Scatter Diagrams
🧮 📊 Scatter Plot Tool

Enter x and y data to find the correlation coefficient (PMCC).