Which one of the following examples is most appropriate for logistic regression?

1. A credit card issuer wants to predict the whether their customers will default or not.

2. A store wants to predict their revenue based on the number of customers, number of employees, and advertisements.

3. An investor wants to make forecasts on his stock for the next three days.

4. None of these are most appropriate for logistic regression.