In this section we review plotting scatter diagrams and discuss the different types of correlation that you can expect to see on these diagrams.
Strong positive correlation between x and y. The points lie close to a straight line with
y increasing as x increases.
Weak, positive correlation between x and y. The trend shown is that
y increases as x increases
but the points are not close to a straight line.
No correlation between x and y; the points are distributed randomly on the graph.
Weak, negative correlation between x and y. The trend shown is that
y decreases as x increases
but the points do not lie close to a straight line.
Strong, negative correlation. The points lie close to a straight line, with
y decreasing as x increases.
If the points plotted were all on a straight line we would have perfect correlation, but it could be positive or negative as shown in the diagrams above.
The following table lists values of x and y.
| x | 2 | 3 | 5 | 6 | 9 | 11 | 12 | 15 |
| y | 10 | 7 | 8 | 5 | 6 | 2 | 5 | 2 |
Use the data to draw a scatter graph.

Describe the type of correlation that you observe.
What sort of correlation would you expect to find between:
a person's age and their house number,
a child's age and their height,
an adult's age and their height ?