Obtain estimates of daily relatives for the number of customers at a restaurant for the evening meal, given the following data.Day123456789GH23H1011121314NumberServed87828399145142488079879213413841Day15PEAREANNN816171819202122232425262728NumberServed82838899132148468283819013313944Click here for the Excel Data File:a. Use the centered moving average method. (Hint: Use a seven-day moving average.) (Round your intermediate calculations andfinal answers to 4 decimal places.)

Here, for each day, I have been given the number served data, Here, I would use the centered moving…

Answered: Obtain estimates of daily relatives for…

Practical Management Science

6th Edition

ISBN:9781337406659

Author:WINSTON, Wayne L.

Publisher:WINSTON, Wayne L.

Chapter13: Regression And Forecasting Models

Section: Chapter Questions

Problem 40P: The Baker Company wants to develop a budget to predict how overhead costs vary with activity levels....

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The Baker Company wants to develop a budget to predict how overhead costs vary with activity levels. Management is trying to decide whether direct labor hours (DLH) or units produced is the better measure of activity for the firm. Monthly data for the preceding 24 months appear in the file P13_40.xlsx. Use regression analysis to determine which measure, DLH or Units (or both), should be used for the budget. How would the regression equation be used to obtain the budget for the firms overhead costs?
Under what conditions might a firm use multiple forecasting methods?
What are some of the common Business Statistics used in Excell for Hospitality Management?
Obtain estimates of daily relatives for the number of customers at a restaurant for the evening meal, given the following data. a. Use the centered moving average method. (Hint: Use a seven-day moving average.)b. Use the SA method.Day Number Served1 802 753 784 955 1306 1367 408 829 7710 8011 9412 13113 13714 4215 8416 7817 8318 9619 13520 14021 4422 8723 8224 8825 9926 14427 14428 48
List and describe three time series models, and explain when would you use it? (be specific)
The director of the Riley County, Kansas, library system would like to forecast evening patron usage for next week. Below are the data for the past 4 weeks: Mon Tue Wed Thu Fri Sat Week 1 210 178 250 215 160 180 Week 2 215 180 250 213 165 185 Week 3 220 176 260 220 175 190 Week 4 225 178 260 225 176 190 a) Calculate a seasonal index for each day of the week (enter your responses rounded to three decimal places). Day of the week Mon Tue Wed Thu Fri Sat Seasonal index
In a short paragraph, describe the trend and seasonal variation of the number of customers (in thousand)in this coffee shop by referring to the following time series plot:(b) Find the trend by calculating the 4-period moving average.(Present your work in a table format and correct all answers to 4 decimal places.)
The number of internal disk drives (in million) made at a plant in Taiwan during the past 5 years follows: Year Disk Drives 1 142 2 156 3 184 4 204 5 210 a) Using simple linear regression the forecast for the number of disk drives to be made next year= 234.4 disk drives b) The mean squared error (mse) when using simple linear regression=[___] drives^2 (round your response to one decimal place)
The number of patients coming to the Healthy Start Maternity clinic has been increasing steadilyover the past eight months. You are provided with some historical data as follows:Month Clinic attendance(in thousands)1 3.42 3.93 4.54 5.05 5.86 5.97 6.58 6.7b. Use simple linear regression to forecast annual demand for months 9 and 10 by using thetabular method to:-i. Derive the values for the intercept and slope. ii. Derive the linear regression equation. iii. Plot the linear regression line. iv. Develop a forecast of the clinic attendance for months 9 and 10.
4.29 The number of disk drives (in millions) made at a plant in Taiwan during the past 5 years follows: YEAR DISK DRIVES 1 140 160 3 190 4 200 5 210 a) Forecast the number of disk drives to be made next year, using linear regression. b) Compute the mean squared error (MSE) when using linear regression. c) Compute the mean absolute percent error (MAPE). PX
An analyst must decide between two different forecasting techniques for weekly sales of roller blades: a linear trend equation and the naive approach. The linear trend equation is F; = 124 + 2.1t, and it was developed using data from periods 1 through 10. Based on data for periods 11 through 20 as shown in the table, which of these two methods has the greater accuracy if MAD and MSE are used? (Round your intermediate calculations and final answers to 2 decimal places.) t Units Sold 11 144 12 146 13 152 14 142 15 152 16 149 17 152 18 154 19 157 20 164 Click here for the Excel Data File MAD (Naive) 5.11 MAD (Linear) 5.49 MSE (Naive) MSE (Linear)
The forecasting sales of Month 1 (F1) was 27, and the actual sale of Month 1 (A1) turned out to be 23 Using Exponential Smoothing method (Desired Respond Rate (Alpha) = 0.3), The forecasting sales of Month 2 (F2) is: ________ (Round your answer to the nearest integer)

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