1. How is the judgmental forecasting executed? 2. How is judgmental forecasting relevant in making decisions? 3. Differentiate Weighted Moving Average Forecast from Smoothing Forecast?
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A: Forecast for Friday using naive approach = Actual demand of previous period(Thursday) = 12.
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- Diego needs to forecast demand for his company's products, using the data he already possesses. He has an average of previous demand, and he knows the most recent demand because he believes it's a better predictor of future demand. Which forecasting technique should he use? Note:- Do not provide handwritten solution. Maintain accuracy and quality in your answer. Take care of plagiarism. Answer completely.Mr. Geppetto uses exponential smoothing to predict revenue in his wood carving business. He uses a weight of = .4 for the naïve forecast and (1-) = .6 for the past forecast. What revenue did he predict for March using the data below? MONTH REVENUE FORECAST Nov 100 100 Dec 90 100 Jan 115 ---- Feb 110 ---- MARCH ? ?How Forecasts is compared with predicted values? why these both terms are different?
- This is a Business Forecasting Question. I know the 3 stages for the evolution of forecasting are 1. Times Series Model 2. Demand Planning Model 3. Predictive Analytics Models I have questions in my homeworks about these stages, but they don't call them what I was given. I have the answer choices: Judgemental, Big Data, Quantitative, and Time Series. Obviously Time Series is one, but what are the other 2 Called. I am not putting the specifics of the questions because that's not what I'm asking. I'm just hoping that someone can clarify these 3 stages for me. I realize that I listed 4 things which means that one is not a stage. I think Big Data isn't a stage, but please correct me if I'm wrong.What action should be taken when unacceptable error is found in tracking a forecast?Econometrics (forecasting) topic: Explain the difference between a nested and a non-nested model? Provideexamples.
- A4 An important element in successful capacity planning is effective demand forecasting. If you were tasked with forecasting the exact number of iPhones to be sold in Brazil in 2022, how would you do this accurately? Explain.Diego needs to forecast demand for his company's products, using the data he already possesses. He has an average of previous demand, and he knows the most recent demand because he believes it's a better predictor of future demand. Which forecasting technique should he use?Metropolitan Hospital has estimated its average monthly bed needs as N=1,000+9X where X=timeperiod(months);January2002=0 N=monthlybedneeds Assume that no new hospital additions are expected in the area in the foreseeable future. The following monthly seasonal adjustment factors have been estimated, using data from the past five years: Forecast Metropolitans bed demand for January, April, July, November, and December 2007. If the following actual and forecast values for June bed demands have been recorded, what seasonal adjustment factor would you recommend be used in making future June forecasts?
- Lauren’s Beauty Boutique has experienced the followingweekly sales: Week Sales1 4322 3963 4154 4585 460 Forecast sales for week 6 using the naïve method, a simpleaverage, and a three-period moving averageThe following is the data of recent refrigerator sales at a local Home Depot store. Month 1 2 3 4 5Actual Sales 95 100 80 90 ???Inputs will be exact numbers. What is the forecasted sales in month 5 using naive approach.Please use a 2-month simple moving average method to forecast sales in month 5.Please use a weighted moving average method, with weights of 0.6 one period ago, 0.3 two periods ago, and 0.1 three periods ago, to forecast sales in month 5.Jan '20 0.68 Feb '20 0.76 Mar '20 1.6 Apr '20 1.47 May '20 0.98 Jun '20 1.18 Jul '20 3.59 Aug '20 3.33 Sept '20 4.31 Oct '20 3.84 Nov '20 6.97 Dec '20 7.7 Using data above please provide one qualitative and two quantitative (Simple and weighted moving average) monthly forecasts in the United States for the holiday season in 2021