Analysis:

To examine the relationship between the "previous" feature and the target variable, we can compare the distribution of the "previous" values for clients who did not subscribe to a term deposit ("no" class) and those who did ("yes" class). By observing the distribution, we can identify typical values of "previous" for each target class.

Solution:

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

In the "no" class, typical values for the "previous" feature could be [0.0, 1.0, 2.0, 3.0, 4.0]. Similarly, the "yes" class also has typical values of [0.0, 1.0, 2.0, 3.0, 4.0] for the "previous" feature.