Based on the given feature description and task, we are analyzing the relationship between the feature "Time" (months since first donation) and the target variable "Did the person donate blood?".

To analyze the relationship, we can consider the following assumptions:

1. In general, it is likely that the longer the time since a person's first donation, the higher the chances of them donating blood again. Therefore, we can expect higher values of "Time" to be associated with a higher likelihood of donating blood (target class "yes").

2. However, it is also possible that some individuals may donate blood only once or very infrequently, regardless of the time since their first donation. So, we should consider the possibility that there may be observations with low "Time" values that still correspond to target class "no".

With these assumptions in mind, we can proceed to create the dictionary:

```json
{
	"yes": [6.0, 9.0, 15.0, 18.0, 24.0],
	"no": [0.0, 3.0, 12.0, 21.0, 30.0]
}
```

In this dictionary, we have provided five typical values for each target class:

- target class "yes": 6.0, 9.0, 15.0, 18.0, 24.0 (relatively higher values of "Time" indicating a higher chance of donating blood again).
- target class "no": 0.0, 3.0, 12.0, 21.0, 30.0 (combination of low and relatively higher values of "Time" indicating a lower chance of donating blood).

Please note that these values are hypothetical and may not correspond to the actual dataset you are working with. The actual values should be determined by analyzing the dataset using statistical methods or domain knowledge.