Based on prior knowledge, the "day" feature refers to the last contact day of the month. To analyze its relationship with the task of whether the client subscribes to a term deposit or not, we can examine the distribution of the "day" feature for each target class ("no" and "yes").

Here is the analysis and the resulting dictionary:

```json
{
	"no": [2.0, 5.0, 6.0, 7.0, 18.0],
	"yes": [4.0, 11.0, 15.0, 19.0, 21.0]
}
```

Please note that the values in the lists are just examples and may not represent the actual data. They are meant to show how the dictionary format should look like.