Correlation measures the strength of a linear relationship. Regression gives the line of best fit. Both are tested in IB Maths.
Pearson's Correlation Coefficient ($r$)
. Positive: both increase. Negative: one increases as other decreases.
close to 1: strong. Close to 0: weak.
Calculate using GDC (formula in data booklet is complex).
Regression Line
(least squares). Use GDC.
- Only use for interpolation (within data range).
- Extrapolation is unreliable.
Coefficient of Determination ($r^2$)
gives the proportion of variation in explained by .
If , then → 81% of variation explained.
Practice Problems
- . Describe the correlation.
- A regression line: . Predict when .
- Why shouldn't we extrapolate beyond the data range?
Want to check your answers and get step-by-step solutions?
Key Takeaways
measures linear correlation strength/direction.
Use GDC for calculations.
Interpolate, don't extrapolate.
Correlation ≠ causation.
