Based on prior knowledge, we can analyze the relationship between age and the presence of heart disease. Generally, the risk of heart disease increases with age. However, it is important to note that heart disease can also affect individuals of younger age groups.

Using this understanding, we can create a dictionary as follows:

```json
{
  "no": [30.0, 35.0, 40.0, 45.0, 50.0],
  "yes": [55.0, 60.0, 65.0, 70.0, 75.0]
}
```

This dictionary includes five typical age values for both target classes: "no" (indicating no heart disease) and "yes" (indicating the presence of heart disease). However, note that these values are just examples and may vary depending on the specific dataset or population being analyzed.