Based on prior knowledge, we can analyze the relationship between the feature "pdays" and the task of determining whether the client subscribes to a term deposit. 

First, we need to determine the appropriate ranges of values for the "pdays" feature. Typically, a value of -1 is used to indicate that the client has not been previously contacted. Positive values indicate the number of days that have passed since the client was last contacted.

To analyze the relationship, we can start by examining the "pdays" values for each target class ('no' and 'yes').

Here is the dictionary with the analysis and typical values:

```json
{ 
    "no": [-1.0, -1.0, -1.0, -1.0, -1.0], 
    "yes":[363.0, 48.0, 148.0, 93.0, 183.0] 
}
```

Please note that in the "no" class, we can see that all the values are -1.0, indicating that the clients in this class have not been previously contacted. On the other hand, in the "yes" class, we can observe typical values for the "pdays" feature that are greater than 0, indicating that these clients have been contacted in the past. The specific values provided are just examples and may vary depending on the dataset.