Based on prior knowledge, serum cholesterol levels can be used as an indicator of heart disease risk. Higher levels of serum cholesterol have been associated with an increased risk of heart disease. However, it is important to note that cholesterol levels alone cannot conclusively determine the presence of heart disease. Other factors such as age, gender, family history, and lifestyle choices should also be considered.

In order to analyze the relationship between cholesterol levels and the presence of heart disease, we would need a dataset that includes the cholesterol levels and corresponding angiography results of multiple patients. Without such data, we can only provide a guideline based on general knowledge.

Here is the analysis based on general knowledge:

For the target class 'no' (no heart disease), typical cholesterol values may include:

- 150.7
- 165.2
- 170.9
- 180.3
- 195.8

For the target class 'yes' (heart disease present), typical cholesterol values may include:

- 200.1
- 220.6
- 230.4
- 255.2
- 280.9

Here is the generated dictionary:

```json
{
	"no": [150.7, 165.2, 170.9, 180.3, 195.8],
	"yes": [200.1, 220.6, 230.4, 255.2, 280.9]
}
```