To analyze the relationship between the feature "Age" and the task of determining if a person has diabetes, we can consider the following:

1. Prior knowledge suggests that diabetes can occur at any age, but it is more prevalent in certain age ranges. The risk of developing diabetes generally increases with age.

Based on this knowledge, we can analyze the relationship as follows:

- People with diabetes: We would expect to see a distribution of age values that includes a wide range, but with a higher concentration in older age groups. This is because the risk of developing diabetes is higher as people get older.

- People without diabetes: We would still expect to see a distribution of age values that covers a wide range, but with a less pronounced concentration in older age groups. This is because not having diabetes does not depend solely on age, and younger people can also experience diabetes.

Based on this analysis, we can create a dictionary with the requested format:

```json
{
	"yes": [50.5, 62.1, 55.3, 65.8, 49.7], 
	"no": [35.2, 42.6, 38.9, 43.5, 39.1]
}
```

Please note that the above values are merely examples meant to illustrate the format and are not based on any specific data.