Scatter diagram, correlation and line of best fit
The table shows the number of hours eight students spent revising and the mark each scored in a test.
| Hours | ||||||||
|---|---|---|---|---|---|---|---|---|
| Mark |
(a) Describe the correlation.
(b) Find the mean point , which the line of best fit must pass through.
(c) A line of best fit has equation . Use it to estimate the mark for a student who revises for hours.
(d) Explain why the line should not be used to estimate the mark for hours of revision.
- 1
(a) As the hours increase, the marks increase steadily, and the points lie close to a straight line.
- 2
(b) Find the mean of the values first.
- 3
Now add the values.
- 4
Divide by for the mean mark.
- 5
Confirm the given line passes through the mean point — it should, for a good line of best fit.
- 6
(c) Substitute into the equation of the line.
- 7
(d) The data only covers to hours. Using the line at is extrapolation — and the line predicts , which is impossible for a test marked out of .
Answer
(a) Strong positive correlation (b) (c) About marks (d) It is outside the range of the data (extrapolation); the line predicts , which is not a possible mark
Examiner tip
Describe correlation with both a strength and a direction — "positive" alone rarely gets full marks, and "the line goes up" is not a description of correlation. Every line of best fit passes through the mean point, which is the most reliable way to draw one by hand. For part (d), naming extrapolation and giving the absurd predicted value is what secures the mark.