Calculate Pearson's correlation coefficient from data
This investigation uses elevation as the explanatory variable and air pressure as the response variable. Each table row keeps the two measurements from one case together
Use elevation as the explanatory variable for air pressure
| elevation (hundreds of metres) | air pressure (hPa) |
|---|---|
| 18 | 914 |
| 16 | 922 |
| 20 | 930 |
| 12 | 953 |
| 14 | 954 |
| 10 | 955 |
| 24 | 899 |
| 22 | 913 |
The paired values have an approximately straight pattern and no influential outlier
For exercise descriptions of |r|, use below 0.25: little or no linear association; 0.25 to below 0.50: weak; 0.50 to below 0.75: moderate; 0.75 to 1: strong. These are stated conventions, not proof of independence or causation