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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?Metropolitan Hospital has estimated its average monthly bed needs asN = 1;000 + 9Xwhere X = time period (months); January 2002 = 0N = monthly bed needsAssume 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:MONTH ADJUSTMENT FACTOR (%)January +5April −15July +4November −5December −25a. Forecast Metropolitan’s bed demand for January, April, July, November, and December 2007.b. 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?YEAR FORECAST ACTUAL2007 1,045 1,0962006 937…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.
- 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 averageCan you explain what these two belows mean in regard of GMM and Maximum likelihood. What are we calculating and what is it used to Unconstrained optimizationConstrained optimizatiois the world heading for a recession? explain the conditons under which the world can be classified as being in a recession as COVID-19 persists. explain linking the pandemic to the various stages of a recession
- It is known that the ABC oil company supplies consumers with 150 tons of products per day. The company produces only two types of products - gasoline and diesel fuel. The limiting transformation ratio of diesel fuel relative to gasoline is 0.5. a) Draw a line of the company's monthly production capacity for gasoline and diesel. b) With the advent of new technologies, production increased by 20%, and the availability of gasoline increased by 30%. Explain how the company's new product line differs from the previous one. c) If we put the gasoline production on the X-axis of the graph, what percentage of the slope capacity of the production line is different from the slope ratio of the previous production line?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…Data 1:*2008 and 2013 National Demographic Health Survey showed that the percentage of womenage 15- 19 who had a live birth or is pregnant with first child had increased from 9.9% - 10.1% inthe country.*In Region 1, the percentage of women age fifteen 15 - 24 who havebegun childbearing also increased from 26% - 29%. This was attributed to the following riskybehaviors identified by the adolescents during the Regional Adolescent Congress: Early sex,Substance abuse, Pornography, VAWC (rape case), Fraternities (bad gangs) & Prostitution. Questions:1. What is the impact of the given data to mortality and morbidity rate of adolescent population? 2. What is the impact of the given data to mortality and morbidity rate of neonatal population? 3. Give at least 3 social determinants of health which are contributory factors leading to the datapresented and justify..
- AD has estimated the following demand relationship for its product over the last four years, using monthly observations: ln Qt = 4.932- 1.238 ln Pt + 1.524 ln Yt-1 + 0.4865lnQt-1(2.54) (1.38) (3.65) (2.87)R2= 0.8738where Q = sales in units, P = price in Rs., Y is income in Rs,000, and the numbers in brackets are t-statistics.a. Interpret the above model.b. Make a sales forecast if price is Rs. 9, income last month was Rs. 25,000 and sales last month were 2,981 units.c. Make a sales forecast for the following month if there is no change in price or income.d. If price is increased by 5 per cent in general terms, estimate the effect on sales, stating any assumptions.TRUE OR FALSE. When heterosdasticity is present OLS estimators are still BLUE.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 ? ?