Based on prior knowledge, I can analyze the relationship between the "Age" feature and the task of determining whether the coronary angiography shows a heart disease.

To analyze this relationship, I will consider the following factors:
1. Generally, older age is associated with an increased risk of heart disease. Therefore, it is likely that higher values of age would be associated with a "yes" (heart disease) target class.
2. However, heart disease can also occur in younger people, so there may be some cases of heart disease even at lower values of age.

Based on these considerations, I will analyze the relationship between the "Age" feature and the "yes" (heart disease) target class.

Dictionary:

```json
{
	"no": [35.0, 40.0, 45.0, 50.0, 55.0],
	"yes": [60.0, 65.0, 70.0, 75.0, 80.0]
}
```

In this dictionary, I have included 5 typical age values for each target class. Values like 35.0, 40.0, 45.0, 50.0, and 55.0 represent typical ages for patients without heart disease (target class "no"). On the other hand, values like 60.0, 65.0, 70.0, 75.0, and 80.0 represent typical ages for patients with heart disease (target class "yes").