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A: The cumulative frequency is the addition of all the previous frequencies.
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Q: Lauren’s Beauty Boutique has experienced the followingweekly sales: Week Sales1 4322…
A: Given; Week Sales1 4322 3963 4154 4585 460
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A: Exponential smoothing is commonly used to make short term forecasts, yet longer-term estimates…
Q: You have been asked to prepare a forecast for your company's product, bottled water. Discuss the…
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Q: merate the approaches to sensitivity analysis.
A: Sensitivity analysis is used in the business to analyze the impact of the variables on the output of…
Q: The "short-run" is generally measured as being under 5 years. True False
A: In economics and financial operations, time period can be classified as short run and long run.
Q: Define the Ordinary Least Square estimator is linear and conditionally unbiased?
A: Answer - Ordinary Least Square estimator (OLS) - It is the method of estimating unknown parameters…
Q: A product has a mean demand of 50 with a standard deviation of 4. If the retailer wants to maintain…
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Q: "After settlement the average weekly wage in a factory had increased from $ 8,000 to $ 12,000 and…
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Q: ber of tons of brake assemblies received at an auto parts distribution center last month wa ast…
A: Given that,
Q: EXPLAIN 2 ways of how should the decision maker incorporate forecast error?
A: A forecast error is simply the difference between the actual and forecasted value of any time series…
Q: The ULS company has the following demand forecasts for the coming months. Placing an order costs $…
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Q: Find the standard deviation of a series of ACT scores listed below 16, 31, 19, 32,12 The standard…
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Q: A mutual fund has a rate of return for five years of 10%, 14%, 10%, and 22% . Calculate the…
A: Geometric mean: It is the average of a set of observations and is generally used for calculating…
Q: Which one of the following statements is best? A. The level of safety stock maintained decreases…
A: Economics is a branch of social science that describes and analyzes the behaviors and decisions…
Q: Historical demand for the product is: Month Demand January 12 February 11 March 15 April 12 May 16…
A: Month Demand Weights Weighted average April 12 0.1 12*0.1 =1.2 May 16 0.3 16*0.3=4.8 June…
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Q: What action should be taken when unacceptable error is found in tracking a forecast?
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Q: Find R,(10, 5) and P,(10, 5) and interpret these values.
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Q: The forecast for week 13 is (Enter your response rounded to the nearest whole number)
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Q: How Forecasts is compared with predicted values? why these both terms are different?
A: A forecast is an estimation that is based on the previous data. A prediction is estimating the…
Q: Consumer expenditure plans is an example of a forecasting method. Which of the general categories…
A: When the government and other national or state officials study and analyze the economy on the basis…
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A: At zero profit the salary of vice president is $50,000. The annual salary plus 90% of company…
Q: The endpoint method computes the percent change as a percent of the starting value. | The endpoint…
A: Price elasticity of demand indicates the responsiveness of quantity demanded to a change in the…
Q: Solve with arc estimation Also write interpretation of answer and give real life example.
A: In the market, arc estimation of elasticity refers to the measure according to which the…
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Q: report the cumulative frequency, relative frequency, and cumulative relative frequency.
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- A firm experienced the demand shown in the following table. *Unkown future value to be forecast Fill in the table by preparing forecasts based on a five-year moving average, a three-year moving average, and exponential smoothing (with a w=0.9 and a w=0.3). Note The exponential smoothing forecasts may be begun by assuming Y t+1=Yt. Using the forecasts from 2005 through 2009, compare the accuracy of each of the forecasting methods based on the RMSE criterion. Which forecast would you have used for 2010? Why?How Forecasts is compared with predicted values? why these both terms are different?What action should be taken when unacceptable error is found in tracking a forecast?
- 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 averageBased on annual data from 2000-2010, the Gadget Company estimates that sales are growing according to a linear trend: Q = 50,000 + 200t where t is time and t = 0 in 2000. a. Forecast sales for 2013. b. Do you see any problems with this forecasting method?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 ? ?
- The following table shows the sales volumes for company XYZ in millions of KES. Use the belowinformation to forecast the sales volumes in in 2022, 2023, 2024. 2026.Year2012203320142015201620172018201920202021Sales 220024003200450055009000150010800163009500 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.Short-range forecasts tend to ________ longer-range forecasts. A. deal with more comprehensive issues than B. use Delphi method approaches more often than C. None of these answers are correct D. employ the same methodologies as E. be less accurate thanYou have been asked to prepare a forecast for your company's product, bottled water. Discuss the type of information you might be looking for to make these forecasts.
- The use of quarterly data to develop the forecasting model Yt = a +bYt-1 is an example of which forecasting technique?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.Suppose that you work for a U.S. senator who is contemplating writing a bill that would put a national sales tax in place. Because the tax would be levied on the sales revenue of retail stores, the senator has asked you to prepare a forecast of retail store sales for year 8, based on data from year 1 through year 7. The data are: (c1p2) Year Retail Store Sales 1 $1,225 2 1,285 3 1,359 4 1,392 5 1,443 6 1,474 7 1,467 54 Chapter One a. Use the first naive forecasting model presented in this chapter to prepare a forecast of retail store sales for each year from 2 through 8. b. Prepare a time-series graph of the actual and forecast values of retail store sales for the entire period. (You will not have a forecast for year 1 or an actual value for year 8.) c. Calculate the root-mean-squared error for your forecast series using the values for year 2 through year 7. 3. Use the second naive forecasting model presented in this chapter to answer parts (a) through (c) of Exercise 2. Use P 0.2 in…