They mean almost the same thing in your example.
In probability theory and statistics, "correlation" indicates the tendency for two measures or variables to vary together or be related . In daily language, "affect" means to have an effect upon. Being affected (causal relation) is much stronger than being correlated (statistically), in general. But you can assume they mean the same in this concrete example.