To determine the type of association between the temperature and the butterfly population in each region, we can analyze and describe the trends for each region as follows:
1. Region A:
- The population of butterflies does not exhibit any clear pattern or consistent trend as the temperature changes.
- Based on the given analysis, Region A shows no observable trend.
2. Region B:
- The population of butterflies increases consistently with the rise in temperature.
- This indicates a positive linear trend.
3. Region C:
- The population of butterflies decreases as the temperature increases, demonstrating a clear reduction.
- This shows a negative linear trend.
4. Region D:
- The population of butterflies increases consistently in a nearly linear fashion with rising temperature.
- This is also indicative of a positive linear trend.
Therefore, we can complete the pairs as follows:
- Region A: no observable trend
- Region B: positive linear trend
- Region C: negative linear trend
- Region D: positive linear trend
So, the completed pairs are:
```
Region A: no observable trend
Region B: positive linear trend
Region C: negative linear trend
Region D: positive linear trend
```
