Based on the prior knowledge, the relationship between age and heart disease can be analyzed as follows:

1. It is well-established that the risk of developing heart disease increases with age. Generally, as people get older, the likelihood of heart disease increases. Therefore, it is expected that higher age values would be associated with a higher probability of heart disease.

2. However, it is essential to note that age alone is not sufficient to determine the presence of heart disease. Other factors such as medical history, lifestyle, and genetic predispositions also play a significant role. Hence, there might be instances where individuals with relatively younger age values have heart disease, and vice versa.

Based on this analysis, the dictionary with the specific details can be created as follows:

```json
{
	"no": [25.0, 30.0, 35.0, 40.0, 45.0],
	"yes": [60.0, 65.0, 70.0, 75.0, 80.0]
}
```

In this dictionary, the "no" key represents age values for patients who do not show heart disease, and the "yes" key represents age values for patients who show heart disease. The values provided are example age values for each target class, and you can adjust them with the appropriate age ranges based on the specific dataset or scenario.