Based on my prior knowledge, when analyzing the relationship between the feature "previous" and the task of whether a client subscribes to a term deposit or not, it can be expected that the number of contacts performed before this campaign and for this client may have an influence on the outcome. 

Here's the analysis and the corresponding dictionary:

```json
{
	"no": [0.0, 1.0, 2.0, 3.0, 4.0], 
	"yes": [1.0, 2.0, 3.0, 4.0, 5.0]
}
```

Explanation:

- For clients who do not subscribe to a term deposit (target class: "no"), typical values for the feature "previous" can be observed as 0.0, 1.0, 2.0, 3.0, and 4.0.
- Conversely, for clients who do subscribe to a term deposit (target class: "yes"), typical values for the feature "previous" can be observed as 1.0, 2.0, 3.0, 4.0, and 5.0.

Please note that the specific values provided are based on assumed typical ranges and may vary depending on the dataset and the context of the problem.