Based on prior knowledge, the normal range for serum cholesterol is typically less than 200 mg/dl. Cholesterol values above this range are often associated with a higher risk of heart disease. 

To analyze the relationship between serum cholesterol and the presence of heart disease, we can perform the following steps:

1. Gather data: Collect data on patients undergoing coronary angiography, including their serum cholesterol levels and whether or not they have heart disease.
2. Analyze the data: Divide the data into two groups based on the presence or absence of heart disease. Calculate summary statistics for the serum cholesterol levels in each group.
3. Determine the appropriate ranges of values: Based on the analysis, identify the ranges of serum cholesterol values that are most common in each group.
4. Create the dictionary: Based on the identified ranges, select five typical cholesterol values for each target class ('no' and 'yes') and store them in the dictionary.

Here is the dictionary with the required format:

```json
{
	"no": [170.5, 185.2, 176.8, 195.3, 187.1],
	"yes": [210.7, 225.9, 205.2, 198.4, 215.1]
}
```
 
Note: These values are placeholders and should be replaced with actual cholesterol values obtained from the data analysis process.