Based on the given feature description and task, we want to analyze the relationship between the feature "day" and the target variable "Does this client subscribe to a term deposit?".


To analyze this relationship, we can look at the distribution of "day" values for each target class ('no' and 'yes').


Here is a dictionary showing possible values of the feature "day" for each target class:

```json
{
	"no": [5.0, 11.0, 17.0, 21.0, 27.0],
	"yes": [2.0, 7.0, 12.0, 20.0, 25.0]
}
```

This dictionary includes 5 typical day values for each target class. The "no" class has the possible values [5.0, 11.0, 17.0, 21.0, 27.0], while the "yes" class has the possible values [2.0, 7.0, 12.0, 20.0, 25.0]. These values are represented as floats in the lists.