The following tabulations are actual sales of units for six months. (assume F1 = A1) a. Calculate forecasts for the remaining five months using simple exponential smoothing with α = 0.2 b. Calculate MAD for the forecasts   Actual (At) Forecast   (Ft) Jan 110   Feb 104   March 116   April 110   May 98   June 124

Consider the following from an estate agent’s business nationally:   Month Houses Sold Jan 380 Feb 360 Mar 390 Apr 400 May 390 June 380 July 394 Aug 454 Sep 460 Oct 460 Nov 430 Dec 370     Calculate the three point moving averages (quarters) and seasonal variation for the above data   Define moving averages and how they’re useful in forecasting (use Harvard referencing)                                                                     At races, your horse, White Rum, has a probability of 1/20 of coming 1st, 1/10 of coming 2nd and a probability of ¼ in coming 3rd. First place pays $5,000 to the winner, second place $4,000 and third place $1,350. Hence, is it worth entering the race if it costs $1050?                          Your company plans to invest in a particular project. There is a 40% chance you will lose $3,000, a 45% chance you will break even, and a 15% chance you will make $5,500.…

The monthly sales for Yazici​ Batteries, Inc., were as​ follows:                                                                                                                                           Month Jan Feb Mar Apr May Jun Jul Aug Sept Oct Nov Dec Sales 21 20 15 12 15 16 15 17 19 21 20 24 Using a method of trend​ projection, the forecast for the next month​ (Jan) = ______ sales ​(round your response to two decimal​ places).

You have a data set that includes time period and past sales data, and you want to use a time series forecasting technique. Which of the following forecasting methodologies is considered a time series forecasting technique? a.Group of answer choices b.Delphi method c.Simple movement smoothing d.Weighted moving average e.Simulation f.Exponential averaging