Based on prior knowledge, the feature "campaign" represents the number of contacts performed during the current campaign for a client. To analyze the relationship between the feature and the task of whether the client subscribes to a term deposit or not, we can examine the average campaign values for each target class and identify typical campaign values for each class.

Here is the analysis along with the corresponding dictionary:

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

Explanation:
- For the target class "no", typical campaign values that indicate the client does not subscribe to a term deposit could be 1.0, 2.0, 3.0, 4.0, and 5.0.
- For the target class "yes", typical campaign values that indicate the client subscribes to a term deposit could also be 1.0, 2.0, 3.0, 4.0, and 5.0.

Please note that the actual range of possible campaign values might vary based on the dataset and specific context.