Use exponential smoothing with trend adjustment to forecast demand for period 11. Let α = 0.5, β= 0.3, and let the initial trend value be 12 and the initial forecast be 200.   Period Actual Demand 1 200 2 212 3 214 4 222 5 236 6 221 7 240 8 244 9 250 10 266

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.

In August a tractor dealer pridicted september demand for 201 tractors , actual demand was 259 tractors. Now using a smoothing constant chosen by the organisation of alpha 0.21, the dealer wants to forecast October demand using the exponential smoothing model ?

The following table shows the actual demand observed over the last 11​ years:                                                                                                                                             Year 1 2 3 4 5 6 7 8 9 10 11 Demand 7 9 6 10 12 7 12 12 9 9 8 Part 2 Using exponential smoothing with   α ​=   0.30 and a forecast for year 1 of   6.0​, provide the forecast from periods 2 through 12 ​(round your responses to one decimal​ place).                                                       Part 3 Provide the forecast from periods 2 through 12 using the naive approach ​(enter your responses as whole​ numbers).

Use exponential smoothing with trend adjustment to forecast deliveries for period 5. Let α = 0.1, β = 0.2, and let the initial trend value be 4 and the initial forecast be 200 (both are given in the table).    (a) Complete the table below and to predict the demand for Period 5 (See image).                         Show the calculations for the demand for Period 2.    (b) Based on the actual demands of the first 4 periods forecast the demand for period 5 using the linear regression method.       (c) Which method performs better based on the actual demand for period 5? Why do you think so?

In a retail store, the actual sales of a particular product (in thousands of units) over the past few months are as follows: Month Sales 1 16 2 22 3 18 4 20 5 23   Using exponential smoothing method with α (smoothing constant) of 0.75 and the given forecast for month 1 equal to 10, what is the forecast for month 6?

In January a battery dealer pridicts February demand of 2000 2 charger battery whereas the actual demand was 1756 unit of batteries , using a smoothing constant of alpha 0.34, the dealer wishes to forecast the march demand using the exponential smoothing model ?

If the forecast and the actual demand in the year 2021 was 600 and 700 respectively, what is the forecast for the year 2022 according to the naive forecasting method? 600 700 650 800

Practice examples. Please show solution. Thank you.