After conducting the analysis, we can determine the relationship between the feature "campaign" and the task of whether the client subscribes to a term deposit. 

The feature "campaign" represents the number of contacts performed during this campaign and for this client. From prior knowledge, we can assume that a higher number of contacts may lead to a higher chance of the client subscribing to a term deposit. 

Based on this analysis, we can create the following dictionary:

```json
{
	"no": [1.0, 2.0, 3.0, 4.0, 5.0],  
	"yes": [1.0, 2.0, 3.0, 4.0, 5.0]  
}
```

These are just examples and the actual values may vary based on the dataset being analyzed.