My App is a small but growing start-up that sees demand for several of its apps increasing quickly. The table below shows the last sixmonths of downloads. Use a forecast for the first month of 220,000, an initial trend forecast of 35,000, and smoothing parameters of015 for both demand smoothing and trend smoothingMonth (t) Monthly Application Downloads Forecast for Next MonthTrend220,000.0035,000.00200,0002250, 100334,000380,000440,000500,000(Round your answers to 2 decimal places.)Complete the table above, filling in the "Forecast for next month" and "Trend" columns, using doublea.exponential smoothing(Round your answers to 2 decimal places.)Month 7's forecast isb.

Double exponential smoothing is a forecasting model which identify the forecasting with the…

Answered: My App is a small but growing start-up…

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...

See similar textbooks

Similar questions

If month one has 240,000 demands, month two 250,080 demands, month three 325,00 demands, month four 370,000 demands, month five 420,000 demands and month six 509,00 demands. Use a forecast for the first month of 240,000, an initial trend forecast of 50,000, and smoothing parameters of 0.35 for both demand smoothing and trend smoothing. Compute the forecasts and trends using double exponential smoothing
Develop two exponential smoothing forecasts for periods 2 through 11. For the first forecast, use a=0.1. For the second, use a=0.7. Assume that your forecast for period 1 was 205. Click the icon to view the time series data. Find the exponential smoothing forecast for each period when a=0:1 (enter your responses rounded to one decimal place). Period Forecast (0.1) 205 1 2 More Info Period 1 2 3 4 5 6 7 8 9 10 Print Demand 228 249 229 238 231 154 166 157 Demand 228 249 164 161 Done
please answer fast
35 The last seven weeks of demand at a new car dealer are shown below. Use a three-period weighted-moving average forecast to determine a forecast for the 8th week using weights of 3, 2, and 1 (where the most recent week receives the highest weight). (Round all forecasts to the nearest whole unit.) Calculate the MAD for this forecast (covering all weeks in which error comparisons can be made). What does the MAD indicate? Week Sales1 252 303 274 315 276 297 30
Which type of industries would make the most use of short-range forecasts? Which would make the most use of medium-range forecasts? Which would make the most use of long-range forecasts? Why?
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 Value 17 14 15 3 (b) mean squared error MSE = % 4 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 = 5 6 (d) What is the forecast for week 7? 12 16 15 (c) mean absolute percentage error (Round your answer to two decimal places.) MAPE =
Use the following information to compute a single exponential smoothing model forecast with a smoothing constant (α = 0.30) to produce the actual demand for the period.) Use 115 as the initial forecast. Click the icon to view the demand for the previous 9 periods. Fill-in the table below for a single exponential smoothing forecast (enter your responses rounded to one decimal place). Period F(SES) 1 2 3 4 5 6 7 8 9 The forecast for period 10 is Period 1 115 117 182 23456789 133 107 96 177 176 (Enter your response rounded to one decimal place.) 144 U at 115 117 182 133 107 96 177 176 144 forecast for period 10. (Note: a, is
Please answer fast please arjent help please
After using your forecasting model for six months, you decide to test it using a tracking signal. Here are the forecast and actual demands for the six-month period: PERIOD FORECAST ACTUAL May 450 500 June 500 550 July 550 400 August 600 500 September 650 675 October 700 600 Find the tracking signal of each month
Given the following data for demand at the XYZ Company, calculate the monthly forecast for 2003 using a 3-month moving average. Calculate the Forecast, Error, MAD (mean absolute percentage error), Bias and the TS (tracking signal) . Give the steps of the calculations in details
What is the short-term retail sales forecast for 1 to 3 years? What is the mid-term retail sales forecast for 3-5 years? What is the long-range retail sales forecast for >5 years? In conclusion, what is the future forecast of the retail environment?

Recommended textbooks for you

Practical Management Science

Operations Management

ISBN:

9781337406659

Author:

WINSTON, Wayne L.

Publisher:

Cengage,

Operations Management

ISBN:

9781259667473

Author:

William J Stevenson

Publisher:

McGraw-Hill Education

Operations and Supply Chain Management (Mcgraw-hi…

Operations Management

ISBN:

9781259666100

Author:

F. Robert Jacobs, Richard B Chase

Publisher:

McGraw-Hill Education

Practical Management Science

Operations Management

ISBN:

9781337406659

Author:

WINSTON, Wayne L.

Publisher:

Cengage,

Operations Management

ISBN:

9781259667473

Author:

William J Stevenson

Publisher:

McGraw-Hill Education

Operations and Supply Chain Management (Mcgraw-hi…

Operations Management

ISBN:

9781259666100

Author:

F. Robert Jacobs, Richard B Chase

Publisher:

McGraw-Hill Education

Business in Action

Operations Management

ISBN:

9780135198100

Author:

BOVEE

Publisher:

PEARSON CO

Purchasing and Supply Chain Management

Operations Management

ISBN:

9781285869681

Author:

Robert M. Monczka, Robert B. Handfield, Larry C. Giunipero, James L. Patterson

Publisher:

Cengage Learning

Production and Operations Analysis, Seventh Editi…

Operations Management

ISBN:

9781478623069

Author:

Steven Nahmias, Tava Lennon Olsen

Publisher:

Waveland Press, Inc.

SEE MORE TEXTBOOKS