Based on my prior knowledge, the feature 'day' represents the last contact day of the month. To analyze the relationship between this feature and the task of whether the client subscribes to a term deposit or not, we can examine the distribution of 'day' values for each target class ('no' and 'yes').

Here is the dictionary analysis for the feature 'day':

```json
{
    "no": [1.0, 2.0, 3.0, 4.0, 5.0],
    "yes": [15.0, 16.0, 17.0, 18.0, 19.0]
}
```

This dictionary provides 5 typical day values for each target class. The values in the 'no' class range from 1.0 to 5.0, while the values in the 'yes' class range from 15.0 to 19.0. These values are presented as floats in the respective lists.