The following table shows the actual demand observed over the last 11 years:Year1234567891011Demand7951013711 138138Using exponential smoothing with α = 0.40 and a forecast for year 1 of 6.0, provide the forecast fromperiods 2 through 12 (round your responses to one decimal place).Year123456789101112Forecast 6.0Provide the forecast from periods 2 through 12 using the naive approach (enter your responses as wholenumbers).Year23456789101112Forecast

Given that: α=0.40 Forecast for year 1 = 6 Year 1 2 3 4 5 6 7 8 9 10 11 Demand 7 9 5 10 13 7 11…

Answered: The following table shows the actual…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Month Actual demand Forecasted Demand 1 950 1000 2 1070 1000 3 1100 1000 4 960 1000 5 1090 1000 6 1050 1000 For the dataset above, compute the overall MAPE.
1 - A simple exponential smoothing model has a current mean of 156.8. Assuming demand for next period is 170, update the value of the smoothing statistic. Let a = 0.1. 2- An electronics company has sold 145, 157, 124, 169,179, 201, 197, and 230 units of a certain stereo system quarterly for the past two years. Plot the data and fit an appropriate model. Forecast sales for the next two quarters.
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The Jersey Dairy Products Company produces cheese, which it sells to supermarkets and foodprocessing companies. Because of concerns about cholesterol and fat in cheese, the company has seen demand for its products decline during the past decade. It is now considering introducing some alternative low-fat dairy products and wants to determine how much available plant capacity it will have next year. The company has developed an exponential smoothing forecast with a = .40 to forecast cheese demand. The actual demand and the forecasts from the model are as follows:Assess the accuracy of the forecast model by using MAD and cumulative error. If the exponential smoothing forecast model does not appear to be accurate, determine whether a linear trend model would provide a more accurate forecast.
the following information, Find the forecast for period two using exponential smoothing and a = 0.3. Period 2 Demand 64 70 A Forecast 59
Period 1 2 3 4 5 6 7 Actual 42 41 39 43 45 F ? ? 2 2. Using the same table above, compute the weighted moving average forecast for demand for four latest period. With data using a weight of .40 for the most recent, .30 for the next recent, .20 the next, and .10 for the oldest. Assume actual demand for period 6 is 44, what is the forecast for period 7?
Here's a table with average monthly price of a stock from Jan 2021-July 2021. Month Price Jan 29000 Feb 27000 Mar 31000 Apr 30000 May 32000 June 28000 July 29000 Using a 3-period weighted moving average with weights (wt, wt-1, W-2) = (0.6, 0.2, 0.2), the predicted price August is Using an exponential smoothing model with = 0.4, and with the initial predicted price for Jan the same as the observed price for January, the predicted price for August is % Now, let's suppose that we finally observe that the price for August is 30000. The absolute percent error (APE) of your prediction for August is using the weighted moving average method and % using the exponential smoothing model. (Note: Round your answer to the nearest 2 decimal places. For your APE answer for example let's say you get 0.06786 from Excel, then you should type-in 6.79 as your answer here since it is represented as percentage. Do not enter any symbols other than integers and decimal.)
Below is a table containing data on product demand for the most recent five months along with the forecasts that had been made for those 5 previous months. Use the exponential smoothing method to forecast the number of sales to expect next month. Use the following value of alpha: 0.2. Month Demand Forecast 1 308 349.2 2 388 340.9 3 344 350.3 4 400 349.1 5 341 359.3
Using exponential smoothing, calculate the forecasts for months 2, 3, 4, 5, and 6. Thesmoothing constant is 0.2, and the old forecast for month 1 is 245.
Please help with correct answers in detail as last answer given was incorrect: 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 19 14 17 12 18 15 Does a smoothing constant of 0.2 or 0.4 appear to provide more accurate forecasts based on MSE? choose correct answer The exponential smoothing using ? = 0.2 provides a better forecast since it has a smaller MSE than the exponential smoothing using ? = 0.4. The exponential smoothing using ? = 0.2 provides a better forecast since it has a larger MSE than the exponential smoothing using ? = 0.4. The exponential smoothing using ? = 0.4 provides a better forecast since it has a smaller MSE than the exponential smoothing using ? = 0.2. The exponential smoothing using ? = 0.4 provides a better forecast since it has a larger MSE than the exponential smoothing using ? = 0.2.

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