Based on prior knowledge and assuming that heart disease typically occurs more frequently in older individuals, we can analyze the relationship between age and the presence of heart disease. 

By examining the available data, we can determine the appropriate ranges of values for age that are more likely to be associated with heart disease. However, without the actual data or a specific dataset, it is challenging to provide an accurate analysis of the relationship between age and the presence of heart disease. 

To create the dictionary, we would ideally use data that contains the age values for individuals who have undergone coronary angiography and their corresponding results indicating the presence or absence of heart disease. In this case, we can provide a hypothetical example dictionary:

```json
{
	"no": [50.2, 55.6, 48.9, 52.3, 49.1],
	"yes": [65.4, 68.9, 70.2, 72.1, 66.7]
}
```

Please note that these values are purely hypothetical and might not accurately represent the actual relationship between age and the presence of heart disease. Actual data should be used to determine the appropriate values for the dictionary.