Based on my prior knowledge, we can analyze the relationship between the feature "previous" (number of contacts performed before this campaign and for this client) and the task of whether the client subscribes to a term deposit or not.

To analyze the relationship, we will look at typical values of the feature "previous" for each target class.

Based on the feature description, let's assume that the "previous" feature can take numeric values ranging from 0 to a certain maximum value. We will consider the following typical values for each target class:

For the target class "no" (client did not subscribe to a term deposit):
- 0.0
- 1.0
- 2.0
- 3.0
- 4.0

For the target class "yes" (client subscribed to a term deposit):
- 0.0
- 1.0
- 2.0
- 3.0
- 4.0

With this information, we can create the requested dictionary in the markdown code snippet format:

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

Please note that the values provided are just examples of typical previous values for each target class. The actual values may differ based on the specific dataset.