Using the Quarterly Sales Data,Assume there is no trend & Compute the four seasonal index values. Further, with a forecasted totaldemand for year 5 of 997 determine the seasonally adjusted forecast for each of the four quarters ofyear 5. (Rounad all answers to 4 decimal places)QuarterYear 1Year 2Year 3Year 4121822623223924425326027319920621622542582682292372.

Find the given details below: Given details: Year Quarter 1 2 3 4 1 218 226 232 239 2…

Answered: Using the Quarterly Sales Data, Assume…

Principles Of Marketing

17th Edition

ISBN:9780134492513

Author:Kotler, Philip, Armstrong, Gary (gary M.)

Publisher:Kotler, Philip, Armstrong, Gary (gary M.)

Chapter1: Marketing: Creating Customer Value And Engagement

Section: Chapter Questions

Problem 1.1DQ

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Similar questions

The following represents the actual demand and two different sets of forecasts using different methods. Compute the MAD for each forecasting method and determine the best method for this set of data. Year-Qtr Actual demand Forecast methos 1 MAD1 (A-F) Forecast Method 2 MAD2 (A-F) 2020-3 98 97 89 2020-4 108 110 106 2021-1 83 68 70 2021-2 100 101 102 2021-3 95 86 87 2021-4 90 94 92 2022-1 71 68 72 2022-2 104 105 106 2022-3 84 91 88 2022-4 80 93 91 2023-1 78 68 70 2023-2 120 118 122
Prepare a graph of the monthly forecasts and average forecast demand for Chicago Paint Corp., a manufacturer of specialized paint for artists. Compute the demand per day for each month (round your responses to one decimal place). Month January February March April May June July August September October November December Choose the correct graph of the forecast demands below. OA Production Days 2222222222 23 19 20 21 20 23 21 20 19 Demand Forecast 950 1,050 1,250 1,350 1,300 1,300 1,250 1,150 1,050 1,000 1,000 950 Demand per Day 325
Use exponential smoothing with trend adjustment to forecast demand for period 11. Let α = 0.5, � = 0.3, and let the initial trend value be 12 and the initial forecast be 200
Help Saved Mary, Susan, and Sarah are running a beach boutique on the board walk of Ocean City. Their favorite product is a red lifeguard hoody. Mary believes it will sell 318 times next season. Susan forecasts sales of 518, and Sarah forecasts 199. What would be the result of a simple forecast combination? (Round to two decimal places)
Sales for the past five months have been 15, 18, 12, 17, 13. Use the following methods to obtain a forecast of sales for the next month. a. The last-value method b. The averaging method c. The moving-average method with three months.
st Info Period 1 2 3 4 5 6 7 8 9 10 K Develop two exponential smoothing forecasts for periods 2 through 11. For the first forecast, use a = 0.3. For the second, use α = 0.7. Assume that your forecast for period 1 was 205. Click the icon to view the time series data. Find the exponential smoothing forecast for each period when a = 0.3 (enter your responses rounded to one decimal place). Demand 222 249 222 228 235 155 161 153 163 152 X Period 1 2 Demand 222 249 Forecast (α = 0.3) 205
Centerville Bikes and Stuff (CBS) sells motorcycles and accessories. The number of helmets sold by CBS per week for the past six weeks follows. Week 1 2 3 4 5 6 Value 17 12 15 12 18 13 Using the naive method (most recent value) as the forecast for the next week, compute the following measures of forecast accuracy. (a) mean absolute error MAE = (b) mean squared error MSE = (c) mean absolute percentage error (Round your answer to two decimal places.) MAPE = % (d) What is the forecast for week 7?
Please answer this simple question
35 The last seven weeks of demand at a new car dealer are shown below. Use a three-period weighted-moving average forecast to determine a forecast for the 8th week using weights of 3, 2, and 1 (where the most recent week receives the highest weight). (Round all forecasts to the nearest whole unit.) Calculate the MAD for this forecast (covering all weeks in which error comparisons can be made). What does the MAD indicate? Week Sales1 252 303 274 315 276 297 30
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 ?
please answer in 30 minutes.

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