Based on prior knowledge, the feature "day" represents the last contact day of the month. To analyze its relationship with the task of whether the client subscribes to a term deposit, we can examine the distribution of "day" values for each target class and identify typical values for both "no" and "yes" classes.

Here is the dictionary containing the analysis:

```json
{
	"no": [8.0, 14.0, 20.0, 21.0, 28.0],  
	"yes": [6.0, 7.0, 15.0, 16.0, 20.0] 
}
```

For the "no" class, typical values of the "day" feature could be 8.0, 14.0, 20.0, 21.0, and 28.0. These values indicate the last contact day of the month when the client did not subscribe to a term deposit.

On the other hand, for the "yes" class, typical values of the "day" feature include 6.0, 7.0, 15.0, 16.0, and 20.0. These values represent the last contact day of the month when the client did subscribe to a term deposit.