Based on my prior knowledge, I can analyze the relationship between the "previous" feature and the task of whether the client subscribes to a term deposit or not.

The "previous" feature represents the number of contacts performed before this campaign and for this client. It is a numeric variable, which means it can take any numerical value.

To analyze its relationship with the target variable, we can look at the typical values of "previous" for each target class ('no' and 'yes').

Here is the analysis and the dictionary with the required 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 in the dictionary are just examples of typical values for each target class. They are not exhaustive and may vary depending on the specific dataset.