Based on the feature description, the feature "previous" represents the number of contacts performed before this campaign and for this specific client. To analyze the relationship between this feature and the task of whether the client subscribes to a term deposit, we can examine the distribution of the "previous" values for each target class.

Here is the analysis and the dictionary with the requested format:

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

Based on the analysis, we can observe that for both target classes "no" and "yes," typical previous values range from 0.0 to 4.0. However, it's important to note that this analysis is based on assumptions derived from prior knowledge and may not be accurate for every dataset.