Which recovery model provides the greatest protection against data loss and recovery options for events that require restoring a backup?

When you restore from backup, your data loss will be everything since the last backup you restore. Ergo, to minimize data loss, you have to minimize the time between backups. If a database is small enough, you may be able to take full and differential backups with a high frequency, but not in all cases. Even if a database is small enough to perform full and differential backups frequently, it still will not provide you as many recovery possibilities as log backups. To truly ensure that you are minimizing data loss, you have to take log backups.

Taking log backups rules out the Simple Recovery Model. You cannot back up the log in this recovery model.

Bulk-logged Recovery Model allows log backups to be taken and restored. This recovery model works like Full Recovery Model except it allows certain transactions to be minimally logged. If a log backup contains a minimally logged transaction, it can still be restored in its entirety, but it cannot be restored to a point-in-time. However, if a log backup does not contain any minimally logged transactions, it can be used for point-in-time restores. (for proof, see T-SQL Tuesday #31 – Bulk-Logged Recovery Model and Point-in-time Restore)

Only full recovery model allows for log backups and ensures that all restore options, like point-in-time restores, are available to you.