Thread: Adjusted exponentially smoothed forcast

1. Given the following data on hotel check-ins for a 6-month period:
July: 45 rooms
August: 36 rooms
September: 52 rooms
October: 48 rooms
November: 56 rooms
December: 60 rooms
With alpha = 0.2 and beta = 0.1, what is the adjusted exponentially smoothed forecast for September?

Originally Posted by sweettea331

1. Given the following data on hotel check-ins for a 6-month period:
July: 45 rooms
August: 36 rooms
September: 52 rooms
October: 48 rooms
November: 56 rooms
December: 60 rooms
With alpha = 0.2 and beta = 0.1, what is the adjusted exponentially smoothed forecast for September?

I searched for you question on the internet, it seems it is a problem of meteorology. I am afraid this is not the forum for that. However, if you can provide some formula used for this exponential smoothing maybe we can help.

Originally Posted by ThePerfectHacker

I searched for you question on the internet, it seems it is a problem of meteorology. I am afraid this is not the forum for that. However, if you can provide some formula used for this exponential smoothing maybe we can help.

Meterology? The study of weather?

Its a problem in forcasting (no not weather forcasting) time series (Or in this
case interpolating time series).

RonL

Originally Posted by sweettea331

1. Given the following data on hotel check-ins for a 6-month period:
July: 45 rooms
August: 36 rooms
September: 52 rooms
October: 48 rooms
November: 56 rooms
December: 60 rooms
With alpha = 0.2 and beta = 0.1, what is the adjusted exponentially smoothed forecast for September?

I'm still not clear about this question, could you provide more details about
the problem, and/or the methods you have been taught about?

RonL