Predict the forecast for week 35 using an exponential smoothing with a smoothing constant of 0.20.

Forecasting  Historical records show the past ten Hood Lacrosse games having the following attendance:5348, 7814, 6515, 5785, 5984, 6522, 6286, 5581, 6714, 7347Assuming no seasonal component, what should the concessions staff use as an estimate for thenext game? Please use a four-period moving average for this forecast.   please use excel for solving

Use the sales data in the table ( attached Image) and apply the same forecast method when α = 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, and 1. What is the best value for α? What does the best value of α indicate or show in regards to the forecast model? (Hint: Use Microsoft Excel to solve the question)

Forecast for next months and trend using double exponential smoothing

Suppose the weekly demand for a call centre is shown in the table below. Apply the moving average and exponential smoothing methods to forecast the demand for Week 17.Assume the following:Simple moving average method: two-week moving averageSingle exponential smoothing method: assume the 1st week forecast is 333 and α=0.65.Include the MSE, MAD and MAPE in your calculations. Based on your results, recommend which method should be used and give reasons to support your recommendation. Week Demand (Number of calls) 1 300 2 360 3 410 4 289 5 279 6 302 7 376 8 329 9 248 10 322 11 503 12 511 13 399 14 402 15 380 16 469

Need help with the forecast for year 10. Linear trend line

Exotic Wines, Inc. wants to use exponential smoothing with α = 0.35 to forecast demand in bottles sold. The demand the last four months are 3,221, 3,197, 3,645, and 3,912 bottles. The forecast for bottles was 3,221 bottles for the second month. What is the forecast for the fifth month? Round your answer to the nearest whole number.  bottles:

pls help ASAP

Given an actual demand this period of 90, a forecast for this period of 58, and an alpha of 0.2, what would the forecast for the next period be using exponential smoothing?

Use simple exponential smoothing with a=0.6 to forecast chargers sales for February through May. Assume that the forecast for January was 24 chargers. *** Month January Charger Sales 42 February 33 March 28 April 59 May ? a) What will be the forecast for May? b) Calculate the MSE.