A model represents each customer as a 3-component feature vector :
| Customer | Tenure (months) | Visits | Spend |
|---|---|---|---|
| A | 12 | 5 | 40 |
| B | 20 | 9 | 60 |
| C | 16 | 2 | 30 |
| D | 24 | 8 | 70 |
Before training, the data is centered. This means building the mean feature vector — where each component is the average of that feature across all four customers — and then replacing every customer vector with .
What does customer C become after centering?
Select all that apply.