can u answer second part. what would you use for your forecast measure? what sort of events can cause errors? plz answer both of these with justification. Thank you

The Covid-19 skiing season is now over for 2022, and you've been recently hired by owners of the Cypress Mountain Chair Lift Company. In your new role, you are to forecast next year's daily chair usage on the ski slopes, each month, from November 2022 to March 2023. What type of forecast model do you think you should use to best represent your prediction? What would you use for your forecast measures (headcount, dollars, revenue, profit, etc...)? What sort of events could cause errors in this forecast? Justify your comments and/or recommendations