Based on prior knowledge, the feature "relationship" can be hypothesized to have a relationship with the target variable "Does this person earn more than 50000 dollars per year?"

Here is the analysis and the corresponding dictionary:

Analysis:
- "Own-child" relationship: It is less likely that someone who is an "Own-child" earns more than $50,000 per year. Therefore, this relationship value is more likely to correspond to the target class "no".
- "Husband" relationship: Generally, the "Husband" relationship corresponds to being married to someone who earns more. Hence, individuals with this relationship value are more likely to earn more than $50,000 per year. Therefore, this relationship value is more likely to correspond to the target class "yes".
- "Not-in-family" relationship: This category is quite broad, and it is difficult to make a clear assumption about the relationship between this value and the target variable. Hence, it can be excluded from the dictionary.
- "Unmarried" relationship: Similar to the "Not-in-family" relationship, it is difficult to predict the relationship between this category and the target variable. Hence, it can be excluded from the dictionary.
- "Wife" relationship: Similar to the "Husband" relationship, individuals with the "Wife" relationship are more likely to earn more than $50,000 per year. Therefore, this relationship value is more likely to correspond to the target class "yes".
- "Other-relative" relationship: It is difficult to predict the relationship between this category and the target variable. Hence, it can be excluded from the dictionary.

Therefore, the dictionary can be created as follows:

```json
{
	"no": ["Own-child"],
	"yes": ["Husband", "Wife"]
}
```