Based on my prior knowledge, I can assume that the feature "day" represents the last contact day of the month and can take values from 1 to 31. To analyze the relationship between this feature and the task of whether the client subscribes to a term deposit or not, I will examine the distribution of "day" values for each target class and identify typical values for both "yes" and "no" classes.

Here is the dictionary with the requested details:

```json
{
	"no": [6.0, 8.0, 4.0, 7.0, 5.0],
	"yes": [15.0, 7.0, 12.0, 18.0, 20.0]
}
```

For the target class "no," some typical values of the "day" feature are 6.0, 8.0, 4.0, 7.0, and 5.0. These values indicate the last contact day of the month for clients who did not subscribe to a term deposit.

On the other hand, for the target class "yes," some typical values of the "day" feature are 15.0, 7.0, 12.0, 18.0, and 20.0. These values represent the last contact day of the month for clients who subscribed to a term deposit.

Please note that these typical values are generated based on assumptions and may vary depending on the actual data.