# Question: Assume you are forecasting with an exponential smoothing model using

Assume you are forecasting with an exponential smoothing model using ( = 0.6. How much weight is placed on the most recent actual demand? How much weight is given to the demand one time period older than the most recent data? How much weight is given to data from two periods in the past?

**View Solution:**## Answer to relevant Questions

Given the series of demand data below a. Calculate the forecasts for periods 7 through 11 using moving average models with n=2, n=4, and n=6. b. Calculate the Bias and MAD for each set of forecasts. Which moving average ...Using α= 0.5 and the data below, compute exponential smoothing forecasts for periods 2 through 8. Repeat problem 1 using (=.4 and β =.8. Which model gives a better approximation of the demand pattern for periods 1 through 6? 1. Develop forecasts using regressions of sales on each of the series of rain forecasts respectively. Calculate the MFE (bias), MAD, and MAPE for the two forecasting models. Which rain forecast seems to be better at ...Explain why the following is not necessarily a true statement: “If a company is chasing demand, then it is overinvesting in balance-sheet assets since inventories will be high.”Post your question