Forecasting method A has errors of 10, -15, 5 and 20. Forecasting method B has errors of -10, 4, 16 and -8. The MAD of method A is equal to The MAD for method B is equal to is more accurate than method Based on MAD, method

Mark Gershon, owner of a musical instrument distributorship, thinks that demand for guitars may be related to the number of television appearances by the popular group Maroon 5 during the previous month. Gershon has collected the data shown in the following table: Maroon 5 TV Appearances Demand for Guitars Y = This exercise contains only parts b, c, and d. b) Using the least-squares regression method, the equation for forecasting is (round your responses to four decimal places): + 4 2 X 5 7 5 9 7 6 7 6 10 7

Sales for the past 6 months at Dalworth Company are given in the following table:   Month Sales July 52 August 61 September 53 October 35 November 31 December 28 What is the Mean Absolute Deviation (MAD) for August through December forecasts produced by using exponential smoothing with α = 0.4? (Note: Do not round the forecasts, and choose the closest answer.) Multiple Choice 39.64 8.75 15.28 11.94

Mark​ Gershon, owner of a musical instrument​ distributorship, thinks that demand for guitars may be related to the number of television appearances by the popular group Maroon 5 during the previous month. Gershon has collected the data shown in the following​ table:                                                                                                            Maroon 5 TV Appearances 3 4 8 6 7 7 Demand for Guitars 4 6 7 5 10 6   This exercise contains only parts​ b, c, and d. Part 2 ​b) Using the​ least-squares regression​ method, the equation for forecasting is ​(round your responses to four decimal ​places)​:   Y​ = enter your response here ​+ enter your response herex

The following table shows the past two years of quarterly sales information. Assume that there are both trend and seasonal factors and that the seasonal cycle is one year. Use time series decomposition to forecast quarterly sales for the next year. (Do not round intermediate calculations. Round your answers to the nearest whole number.) Note:- Do not provide handwritten solution. Maintain accuracy and quality in your answer. Take care of plagiarism. Answer completely. You will get up vote for sure.

A company wants to generate a forecast for unit demand for year 2017 using exponential smoothing. The actual demand in year 2016 was 120. The forecast demand in year 2016 was 110. Using this data and a smoothing constant alpha of 0.1, which of the following is the resulting year 2017 forecast value?

Which term most closely relates to associative forecasting techniques? Select one: a. time series data Ob. linear relationships Oc. the Delphi technique O d. consumer survey O e. predictor variables

Holiday Lodge The Holiday Lodge is a large hotel and casino in the Adirondacks.  The relatively new hotel is two years old, and the manager is trying to develop a plan to staff the maintenance department.  The hotel’s manager wants to use the two years of data below to forecast one month ahead of maintenance calls.  The data is provided in the spreadsheet named HOLIDAY LODGE DATA.XLS Month Calls 1 46 2 39 3 28 4 21 5 14 6 16 7 14 8 13 9 9 10 13 11 18 12 15 13 12 14 6 15 19 16 9 17 12 18 14 19 16 20 12 21 13 22 9 23 14 24 15 Develop a forecast for month 25 using a 4 month moving average, exponential smoothing (a = 0.2) and regression.  Which forecast is preferred? Why?

The monthly sales for Yazici Batteries, Inc., were as follows: Month Sales Jan 19 Feb Mar 17 21 Apr May Jun Jul Aug Sept Oct 12 15 18 15 19 20 20 This exercise contains only parts b and c. b) The forecast for the next month (Jan) using the naive method = 22 sales (round your response to a whole number). Nov Dec 20 22 The forecast for the next period (Jan) using a 3-month moving average approach = 20.67 sales (round your response to two decimal places). The forecast for the next period (Jan) using a 6-month weighted average with weights of 0.10, 0.10, 0.10, 0.20, 0.20, and 0.30, where the heaviest weights are applied to the most recent month = sales (round your response to one decimal place).