Question 1 The below graph plots the daily prices of Gold over time. a) Examine the plot and describe the issues that may arise using this time series data for forecasting. Offer solutions to these issues. b) Offer a suitable forecasting method for this data. gold 600- 500- 400- 300- пристика мамалий 200 400 600 hashampoot Time 800 1000
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- 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?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 ? ?Please refer to the table “Pet Owners’ Behavior during Recession,” which shows results of a survey in themidst of the recession in 2008. Now that there hasbeen some economic recovery, the results may differ.a. Perform a survey of modern-day pet ownersasking the same questions. Compare andcontrast your results with those from 2008.b. Record the generation for your respondents andperform a cross-tab analysis based on those data.c. Record household life-cycle stage and perform across-tab analysis based on those data.
- 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 average6-5 Given: Consider the following time series data. week 1 2 3 4 5 6 Value 18 13 16 11 17 14 Week Time Series Value Forecast 1 18 2 13 3 16 15.6667 4 11 13.3333 5 17 14.6667 6 14 14 MSE = 11.889 Forecast for week 7 = 14 Use α = 0.2 to compute the exponential smoothing values for the time series. Compute MSE and a forecast for week 7. If required, round your answers to two decimal places. Week Time SeriesValue Forecast 1 18 2 13 3 16 4 11 5 17 6 14 MSE: The forecast for week 7: Compare the three-week moving average forecast with the exponential smoothing forecast using α = 0.2. Which appears to provide the better forecast based on MSE?
- 10- What type of data does the data obtained by temperature measurements fall under?I. Interval dataII. Quantitative continuous dataIII. Proportional dataIV. Quantitative discrete data A) II B) I -II C) I - III - IV D) IV E) III - IIFORCASTING Month Time QJan 1 46Feb 2 56Mar 3 72Apr 4 67May 5 77Jun 6 66Jul 7 69Aug 8 79Sep 9 88Oct 10 91Nov 11 94Dec 12 104Jan ?Feb ? Make a forecast of the demand for the month of January and FebruaryDefine Forecasts and forecast errors in time series anaylsis?
- 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.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…Based 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?