Based on my prior knowledge, the feature "persons" refers to the capacity of the car in terms of the number of persons it can carry. The categories for this feature are '2', '4', and 'more'.

To analyze the relationship between the feature "persons" and the target variable "decision to buy this car," we can look at the general expectations and assumptions.

1. Unacceptable: It is possible that the decision to buy a car is considered unacceptable if the car has a low capacity in terms of persons. The "unacceptable" class might include cars with a capacity of '2' or '4', as they can only carry a limited number of persons.

2. Acceptable: The "acceptable" class could contain cars with a capacity of '4' or 'more', as they can carry more persons and meet the buyer's requirements.

3. Good: Cars with a capacity of 'more' might be considered good, as they have the ability to accommodate a larger number of persons.

4. Very Good: It is likely that cars with a larger capacity in terms of persons, such as 'more', will be rated as "very good" by the buyers.

Based on these assumptions, let's create the dictionary:

```json
{
	"unacceptable": ["2", "4"],
	"acceptable": ["4", "more"],
	"good": ["more"],
	"very good": ["more"]
}
```