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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- 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?A company that produces video equipment, including videocameras and televisions, is attempting to forecast what newproducts and product innovations might be technologicallyfeasible and that customers might demand 10 years into thefuture. Speculate on what type of qualitative methods itmight use to develop this type of forecast.Homework i ed ok ences Aft کے 2 The forecasted demand for Week 20 is places.) b. Use the above trend equation to predict expected loadings for Weeks 20 & 21. (Round your final answers to 2 decimal A- W It should reach 870 loadings in Week # 3 decimal places.) c. The manager intends to install new equipment when the volume exceeds 870 loadings per week. Assuming the current trend continues, in which week (at the earliest) should the loading volume reach that level? (Use the rounded answers, as required, from any previous part of this problem. Do not round any other intermediate calculations. Round your final answer to 2 €1 + E C Q Search $ 4 R V C % 5 G M F9 JK 9 " F10 Alt F11 ✩ P น Ctrl 8 Help Save & Exit Submit F12 C PrtSc + 11 Insert Home 1 3/23/2023 Delete Backspace PgUp Er
- Actual sales of TV's for the first six month in 2021 were as follows:January 60 February 80 March 42April 68 May 44 June 72 Use this information and determine in whole numbers: 1 The average actual monthly sales for that period 2 Trends: Reduce this average by 6% per month for the next three months 3 Simple Moving Average (SMA): make a forecast for July using a three months simple movingaverage. 4 Weighted Moving Average (WMA): make forecast for July, using a three months weightedmoving average where the weights are 0.5; 0.3 and 0.2 respectively.2. Montyboy Pet Shop ships boxed can dogfood anywhere in the country. Using the following information, forecast the shipments for the first four months. Seasonal Relative Month January February March 1.2 1.3 1.3 1.1 0.8 0.7 The monthly forecast equation being used is: Yt = 402 + 3t April May June Where: to = January last year Yt = number of shipments Month July August September October November December Seasonal Relative 0.8 0.6 0.7 1.0 1.1 1.4 Question: Determine the trend amounts for the first four months of the next year assuming January, t=24; February, t=25; etc. Note: Round answers to whole numbers.The table belovw contains the yearly movie attendance (in billions) from 2001 through 2013. a. Choose the correct time-series plot below. Construct a time-series plot for the movie attendance (in billions). What pattern, if any, is present in the data? а. b. O A. OB. Year Attendance (billions) O 2001 1.41 2002 2003 1.52 1.49 1.41 1.35 2004 2005 1- 2000 2014 2000 2014 2006 1.38 Year Year 2007 1.37 2008 2009 O D. 1.35 OC. OD. 1.37 2010 1.29 2- 2011 1.24 2012 1.31 2013 1.14 2014 1+ 2000 2014 2000 Year Year b. Choose the correct answer below. O A. Movie attendance has steadily increased from 2001 onward. O B. Movie attendance has steadily decreased from 2001 onward.
- 4. Relate cycles, seasonality and trends in time series forecasting. What is their relevance in such type of forecasting? 5. Illustrate one example/scenario when judgmental forecast is utilized.Define Forecasts and forecast errors in time series anaylsis?I Consider the demand for trading cards listed below. Month Demand Jan. 51,000 48,000 Feb. March 55,000 April May 58,000 66,000 June 69,000 80,000 July Aug. 95,000 Use Excel to prepare a forecast for September, October, and November using linear regression Print out the sheet of results, as well as a sheet containing the formulas that you used ( can be used to toggle between displaying values and displaying formulas or you can click on Formulas>Formula Auditing→Show Formulas.) and for the cars is 16.000
- 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 2021Country Australia Japan United States Country Australia Japan United States Country Australia Japan United States Forecasting the Pan-Pacific Pyramid: Australia, Japan, and the United States Latest Qtr 4.7% 2.4 % 2.7 % Year Ago 4.6 % 0.7% 2.7 % Trade Balance Last 12 mos (billion $) -13.1 98.5 -810.8 Gross Domestic Product Forecast 2015e Qtr 4.3 % -1.8 % 3.6 % Consumer Prices Latest 2.8% -0.2% 2.5 % 4.9 % 2.4% 2.4 % Forecast 2015e Last 12 mos (billion $) -46.9 197.3 -793.4 2.2 % 0.0 % 3.2% Current Account Forecast 2016e 3.7 % 1.5% 2.3 % Forecast 15 (% of GDP) -5.7 % 4.5 % -5.6 % Industrial Production Recent Qtr 4.3 % 4.4 % 1.6 % 3-month Latest 6.77 % 0.69 % 4.97 % Oct 17th Unemployment Rate Interest Rates 1.14 118.00 1.00 Current Units (per US$) Latest 4.7% 1-yr Govt Latest 4.4 % 3.6 % 6.28 % 1.64 % 4.56 % Year Ago 1.31 121.00 1.00 Note: Unless otherwise noted, percentages are percentage changes over one year. Rec Qtr = recent quarter. Values for 2015e are estimates or forecasts.K Real-Time Data Analysis Exercise What Are Dollars from the Past Worth Today? Compare how many dollars are needed today to match the purchasing power of dollars in the past. The Consumer Price Index (CPI) for August 2023 was 306.269 and the CPI for August 1988 was 119.000. "Real-time data provided by Federal Reserve Economic Data (FRED), Federal Reserve Bank of Saint Louis The value in August 2023 of $1,500 paid in August 1988 is $. (Round your response to two decimal places)