After analyzing the relationship between the feature "month" and the target variable "subscription to a term deposit", I have found that the months of the year can have an influence on the client's decision to subscribe or not. Here is the dictionary representing the relationship:

```json
{
	"no": ["may", "jun", "jul", "aug", "oct", "nov", "dec"],  
	"yes": ["mar", "apr", "sep"]
}
```

This means that clients who were last contacted in May, June, July, August, October, November, or December are less likely to subscribe to a term deposit. On the other hand, clients contacted in March, April, or September have a higher likelihood of subscribing to a term deposit.