Consider the following set of time series sales data for a growing company over the past 8 months: Month Sales 1 15 13 3 18 4 22 20 23 7 22 21

Give typed explanation Part 2: Using exponential smoothing, the forecasted demand for period 5 using the smoothing constant determined in image= ?

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 6 8 4 7 11 7 13 12 10 13 8 This exercise contains only parts​ b, c, and d. Part 2 ​b) Using the​ 3-year moving​ average, provide the forecast from periods 4 through 12 ​(round your responses to one decimal​ place).                                           Part 3 ​c) Using the​ 3-year weighted moving average with weights   0.10​,   0.30​, and   0.60​, using   0.60 for the most recent​ period, provide the forecast from periods 4 through 12​ (round your responses to two decimal​ places).                                           Part 4 ​d) Mean absolute deviation for the forecast developed…

Forecasting with exponential smoothing has been compared to driving a car while gazing in the rearview mirror. What circumstances must exist for driving a car that are equivalent to the assumptions made while applying exponential smoothing.

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?

Among the following forecasting techniques, which one utilizes both past time period forecast and past time period actual demand to calculate the forecasted demand? Weighted Moving Average Simple Moving Average Naive Method Exponential Smoothing