Based on my prior knowledge and understanding, the feature "day" represents the last contact day of the month in the dataset. 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 values for each target class.

Here is the dictionary with the typical day values for each target class:

```json
{
	"no": [5.0, 10.0, 15.0, 20.0, 25.0],
	"yes": [2.0, 8.0, 14.0, 21.0, 27.0]
}
```

This dictionary suggests the possible values of the "day" feature that are commonly observed for clients who did not subscribe to a term deposit ("no") and for clients who did subscribe to a term deposit ("yes"). The values provided are just examples and may not represent all possible values in the dataset.