The following table lists your company's sales during the last four years.Year 1Year 2Year 3Year 4Sales101109104121a. Using Excel, estimate the linear trend equation, S = a + b*t.b. Save the Excel file and upload to Blackboard.Attach FileBrowse Local Files

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Answered: The following table lists your…

Practical Management Science

6th Edition

ISBN:9781337406659

Author:WINSTON, Wayne L.

Publisher:WINSTON, Wayne L.

Chapter2: Introduction To Spreadsheet Modeling

Section: Chapter Questions

Problem 20P: Julie James is opening a lemonade stand. She believes the fixed cost per week of running the stand...

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6. A careful analysis of the cost of operating an automobile was conducted by accounting manager Dia Bandaly. The following model was developed: y=4,000+0.20x, where y is the annual cost and x is the miles driven. Part 2 a) If the car is driven 15,000 miles this year, the forecasted cost of operating this automobile= ___________ (enter your response as a whole number).
The manager of a trendy downtown café in Columbus, Ohio, collects weekly data on the number of customers it serves. A port of the data is shown in the accompanying table. Week 1 2 I 52 $53 = Saved Customers 925 977 I 1338 pictureClick here for the Excel Data File a. Use the simple exponential smoothing technique with a = 0.2 to make a forecast for Week 53. (Do not round intermediate calculations. Round final answer to 2 decimal places.) $53 = b. Use the simple exponential smoothing technique with a = 0.4 to make a forecast for Week 53. (Do not round intermediate calculations. Round final answer to 2 decimal places.) Week 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 Customers 925 br 977 943 937 1024 1098 1048 980 905 218 8:23 768 777 834 885 837 900 971 966 911 963 988 943 870 877 958 1026 1029 1113 1201 1181 1171 1164 1153 1075 1053 997 948 987 930 911 990 964 1069 1165 1229 1158 1210…
Seasonal patterns often occur in time series. The ratio-to-moving-average method facilitates the calculation of a seasonal adjustment factor to smooth out seasonal variations by “de-seasonalizing the data”. This process begins by tabulating data by quarter and calculating a centered moving average. In Year 1, quarterly sales were: 4000; 2000; 1000; 3000. Notice: no commas. 1. The four-quarter moving total is 2. This number is placed on the line between which two quarters? ____ and ____ (Use symbols I, II, III, IV) In Quarter I of Year 2, sales were 4000 3. The four-quarter moving total is ____ 4. This number is placed on the line between which two quarters? ____ and ____ (Use symbols I, II, III, IV) 5. The average of moving totals is ____ 6. The four-quarter moving average is ____ 7. The ratio to moving average for Quarter III of the first year is ___%
Create a line graph for this set of monthly sales numbers. Run a regression analysis. What is the regression equation? Is the regression equation significant? How can you tell? What is the Rsquare? What does this signify? What is the sales forecast for month 13? 1 550 2 548 3 546 4 549 5 550 6 548 7 551 8 551 9 552 10 551 11 553 12 553
Collaborative Planning, Forecasting and Replenishment (CPFR) states cooperative management of demand and supply through joint visibility and replenishment of products in the SC. Select one: a. True b. False
A pizza chain wants to forecast the demand rate for each store for each hour in the day.What type of forecasting method is it most likely to deploy?a. Automated forecastingb. Expert panel forecastingc. Weather forecastingd. Macroeconomic forecasting
Please help with correct answers in details: Step by step Suppose these data show the number of gallons of gasoline sold by a gasoline distributor in Bennington, Vermont, over the past 12 weeks. Week Sales (1,000sof gallons) 1 17 2 21 3 20 4 24 5 18 6 17 7 21 8 19 9 22 10 21 11 16 12 22 (a) Compute four-week and five-week moving averages for the time series. Week Time SeriesValue 4-WeekMovingAverageForecast 5-WeekMovingAverageForecast 1 17 2 21 3 20 4 24 5 18 6 17 7 21 8 19 9 22 10 21 11 16 12 22 b) Compute the MSE for the four-week moving average forecasts. (Round your answer to two decimal places.) c) Compute the MSE for the five-week moving average forecasts. (Round your answer to two decimal places.) d) What appears to be the best number of weeks of past data (three, four, or five) to use in the moving average computation? MSE for the three-week moving average is 9.65.…
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Please help with the correct answers in details: Centerville Bikes and Stuff (CBS) sells motorcycles and accessories. The number of helmets sold by CBS per week for the past six weeks follows. Week 1 2 3 4 5 6 Value 19 12 17 10 18 15 Using the naive method (most recent value) as the forecast for the next week, compute the following measures of forecast accuracy. (a) mean absolute error MAE = (b) mean squared error MSE = (c) mean absolute percentage error (Round your answer to two decimal places.) MAPE = % (d) What is the forecast for week 7?
The number of cases of merlot wine sold by the Connor Owen winery in an eight-year period is as follows: YEAR CASES OF MERLOT WINE 1 270 2 356 3 398 4 456 5 358 6 500 7 410 8 376 Using an exponential smoothing model with an alpha value of 0.20, estimate the smoothed value calculated as of the end of year 8. Use the average demand for years 1 through 3 as your initial forecast for year 4, and then smooth the forecast forward to year 8. Note: Round your intermediate calculations and final answer to the nearest whole number.
expenditure on food, gas and clothing for a family living in the USA in 2010. Read the description written below the graph. Monthly Expenditure food verae The bar chart the amount of money spent monthly on food, gas and clothing for a family living in the USA in 2010. Overall, it can be seen that all levels of expenditure over the period. To begin, in January the money was spent on food, at approximately $500 per month. expenditure on food increased the following month, it then had a to be the lowest expenditure of all the items at the end of the period at just over $300.Gas appeared to follow the opposite pattern to food spending. It started lower at about $350 per month. The amount of money spent on gas then went down in the following month, but then it increased to finish at just under $600 in April. Clothing, which at just over $200 in January, was considered the expenditure at the beginning of the period. The amount of money spent monthly on clothing fluctuated dramatically over…
A key factor for success for a retailer is a phenomenal forecasting process and resources (Jack Barker, 2015) because forecasting is a fundamental part of Spar Group Limited supply chain operations. To assist in leveraging this key factor, Spar Group Limited develop protocols forforecasting, and select a forecasting team with representatives from all the trading partners and stakeholders. Spar uses forecasting systems to provide a clear and actionable path for business activities, this helps the business to conquer certain market challenges (Graham O’Conner, 2018).Spar’s production forecast and scheduling process are broken down into two parts: planning, based on a monthly forecast, of assembly and components orders and daily scheduling of packaging custom products and sterilization based on finished goods inventory levels.During the fourth quarter of each fiscal year, Spar’s marketing and finance teams determine the annual forecast. The annual forecast is broken down based on…

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The following table lists your company's sales during the last four years. Year 1 Year 2 Year 3 Year 4 Sales 101 109 104 121 a. Using Excel, estimate the linear trend equation, S = a + b*t. b. Save the Excel file and upload to Blackboard.