Based on prior knowledge, the relationship between the age of a patient and the presence of heart disease can be analyzed. In general, it is known that the risk of heart disease increases with age. Therefore, older individuals may have a higher likelihood of showing heart disease in their coronary angiography results.

Based on this analysis, the generated dictionary would look like this:

```json
{
	"no": [30.5, 35.8, 40.2, 45.6, 50.3],  
	"yes": [55.1, 60.9, 65.4, 70.2, 75.8] 
}
```

In the dictionary above, the "no" key represents the target class where the coronary angiography does not show heart disease. The "yes" key represents the target class where the angiography does show heart disease. The associated values are typical age values (presented as floats) for each target class. 

Please note that the specific age values provided in the dictionary are somewhat arbitrary and may vary depending on the dataset and context.