A police station had to deploy a police officer for an emergency multiple times in the last four evenings. The tbelow shows the number of emergencies each evening.WeekdayNumber of calls each dayMonday10Tuesday2Wednesday12Thursday12(Round your answer to 1 decimal place.)What would be their forecast for the emergencies on Friday using a two-day moving average approach?Forecast for Fridaycalls

A moving average is a method for determining the overall trends in a data collection by taking the…

Answered: A police station had to deploy a police…

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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The sale data is shown as follows: Month 1: 11 Month 2: 52 Month 3: 95 Using Weighted Simple Moving Average method (Month 1: 0.2; Month 2: 0.3; Month 3: 0.5) to forecast the sales of Month 4: ________ (Round your answer to the nearest integer)
What is the role of the POS system in forecasting at HardRock?
Three years ago CMSV admissions office began using exponential smoothing with a smoothing constant of 0.25 to forecast the number of applications for admissions each year. Based on the previous experience, this process was begun with an initial estimate of 5000 applications. The actual number of applications turned out to be 4600 in the first year and grew to 5300 in the second year and 6000 last year. Determine the forecasts that were made for each of the past three years. Calculate MSE and MAD for these three years and determine the forecast for the next year.
Please forecast the mileage (in 100) for 2013 using a 4 period moving average method. Please keep 1 decimal place.
The following table gives the number of pints of type A blood used at Damascus Hospital in the past 6 weeks: Week Of August 31 September 7 September 14 September 21 September 28 October 5 Week Of a) The forecasted demand for the week of October 12 using a 3-week moving average = pints (round your response to two decimal places). b) Using a 3-week weighted moving average, with weights of 0.10, 0.35, and 0.55, using 0.55 for the most recent week, the forecasted demand for the week October 12 pints (round your response to two decimal places and remember to use the weights in appropriate order the largest weight applies to most recent period and smallest weight applies to oldest period.) c) If the forecasted demand for the week of August 31 is 360 and a = 0.20, using exponential smoothing, develop the forecast for each of the weeks with the known demand and the forecast for the week of October 12 (round your responses to two decimal places). August 31 September 7 September 14 September 21…
A security company had to deploy guards for emergencies multiple times in the last four evenings. The numbers of emergencies for Monday, Tuesday, Wednesday, and Thursday were 7, 4, 8, and 11, respectively. What would be the security company's forecast for the number of emergencies on Friday using an exponential smoothing forecasting approach? (Use \alpha= 0.2 and a forecast for Monday of 10 emergencies)
Using least-squares regression, the forecast for the number of accidents that will occur in the month of May = ? accidents (enter your response as a whole number).
Forecasting with exponential smoothing has been compared to driving a car while gazing in the rearview mirror. What circumstances must exist for driving a car that are equivalent to the assumptions made while applying exponential smoothing.
Please forecast the mileage for 2013 using the Naive method.
Give an example of forecasting a pet store
a. What is the mean square error for time periods 2 through 4 using the average forecasting method? b. What is the mean absolute error for time periods 2 through 4 using the average forecasting method? c. What is the mean absolute percentage error for time period 2 through 4 using the average forecasting method? Round all answers to two decimal places. Time Period 1 2 3 4 Mean absolute error (MAE) Mean squared error (MSE) Mean absolute percentage error (MAPE) Electric Bill 510 315 420 480 Average Forecast Forecast Error
The Dean of a faculty wants to forecast student enrolments for this academic year based on the following historical data: (5 years ago enrolment was 11770 ), (4 years ago enrolment was 15251), (3 years ago enrolment was 15785 ), (2 years ago enrolment was 16076 ) and in the last year enrolment was 19001 . What is the forecast for this year using exponential smoothing with alpha=0.58999997 , if the forecast for two years ago was :17623 a. 16710.27 b. 18061.801 c. 17801.75 d. 17386.035

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