Based on the task description, we need to analyze the relationship between the feature "duration" and the target variable "does this client subscribe to a term deposit?".

To analyze this relationship, we can look at the differences in the duration values for clients who subscribe (yes) and those who do not (no).

Based on prior knowledge, it is reasonable to assume that clients with longer durations of last contact are more likely to subscribe to a term deposit. However, this assumption may not always hold true, as other factors may also influence the subscription decision.

To generate the dictionary with the specific details, we will extract 5 typical duration values for each target class ('no' and 'yes').

```json
{
    "no": [86.0, 166.0, 96.0, 170.0, 154.0],
    "yes": [305.0, 198.0, 186.0, 255.0, 675.0]
}
```

Note: The specific duration values mentioned here are arbitrary examples and may vary depending on the dataset used.