q10 . According to the XYZ Apartment Rental Company ER diagram, which of the following istrue?It is not possible to keep track of builders that did not build any of the buildingsB)A)It is not possible to keep track of builders that built only one of the buildingsIt is not possible to keep track of builders that built multiple buildingsIt is not possible to keep track of builders that built more than 8 buildingsC)D)Answer: BuildingIDNoOfFloorsApIDNoOfBedroomsBUILDING(2,8)IsBuiltByHasAPARTMENTBuilderPhoneNumberNoOfBathroomsBUILDERBuilderIDBuilderName

ANSWER : Option : A) It is not possible to keep track of builders that did not build any of the…

Answered: According to the XYZ Apartment Rental…

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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YEAR 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 ARRIVAL ('000) 35.5 28 30.3 36 49.5 56 72.4 71 79.3 96 DELAYED RATE 4.2 3.8 3.8 3.5 4.6 4.5 4.6 4.6 4.7 4.5 A marketing analyst for Rockstar Travel Company. He wants to analyze the trend of international tourist arrival in KL by using international tourist arrival rate and flight delayed rate over the past 10 years. Propose ONE (1) forecasting model that can be used by Alvin. Why would you proposed that particular model? Develop the forecasting model that you suggest in (i). Briefly explain your model.
#3) Calls to a college emergency hotline for the past 29 months are as follows: Month Calls Month Calls 1 45 16 50 2 30 17 50 3 20 18 35 4 35 19 30 5 40 20 55 6 30 21 70 7 15 22 45 8 25 23 35 9 30 24 37 10 15 25 46 11 10 26 17 12 35 27 33 13 50 28 40 14 30 29 60 15 20 a) Create a time series plot. b) Develop a six period moving average. What is the forecast for month 30? c) Develop an exponential smoothing forecast with a smoothing constant of 0.65. What is the forecast for month 30? d) Calculate the MAD, MSE, and MAPE for each model in problems b, and c. Which model is the better predictor? e) Actual calls during month 30 were 55. Which model is the better predictors? Explain. f) Excel file
3. Attendance at Los Angeles' newest Disney like attraction, Vacation World has been as follows: Quarter Guests Quarter Guests (in Thousands) (in Thousands) 2017 Q1 73 Q3 124 Q2 104 Q4 52 Q3 168 2019 Q1 89 Q4 74 Q2 146 2018 Q1 65 Q3 205 Q2 82 Q4 98 a. Graph the data. (Use Excel) b. Compute seasonal indices using all the data. (Solve manually)
List and describe three time series models, and explain when would you use it? (be specific)
Professor Shethinks Shesverybusy needs to allocate time this week for office appointments, so she needs to forecast the number of students who will seek appointments. The professor has gathered the following time series data recently: Period Student Appointments 4 weeks ago 95 3 weeks ago 80 2 weeks ago 65 Last week 50 What is this week's forecast for student appointments using a three-week moving average? а. 52 b. 80 Ос. 65 d. 78 e. 50 O O O O
FC.51 Madison Memorial Hopsital is considering purchasing a new ambulance. The decision will rest partly on the anticipated mileage to be driven this year (2023). The miles driven during the past eight years are as follows: Year Miles Driven 2015 2016 2017 2018 2019 2020 2021 2022 3,240 1,211 3,208 3,253 2,169 2,224 1,162 1,074 Using a 4-year moving average, what would be the forecast for the miles to be driven in 2023? (Display your answer to the nearest whole number.) Number Using a 4-year weighted moving average (with last year's weight as 0.5, two years previous as 0.2; three years previous as 0.2, and four years previous as 0.1) what is the forecast for 2023? (Display your answer to the nearest whole number.) Number
Naïve method versus three period Moving Average The number of major plumbing repair jobs performed by Augur’s Plumbing Service in each of the last six months is listed below. Month Jobs October 92 November 94 December 98 January 95 February 99 March 104 Use the ‘textbook’ naïve method to forecast April jobs (Ft+1 = Xt + (Xt – Xt-1). Use the three- period moving average to forecast jobs in April Based upon the MAD (mean absolute deviation), determine whether the three-period moving average or textbook naïve method is more accurate, based upon forecasts for January through March.
What are some of the common Business Statistics used in Excell for Hospitality Management?
19. The semi-averages of the below given data are: Year Rainfall 1999 21 2000 11 2001 14 2002 16 2003 18 a. 16 and 12.5 b. 16 and 24 c. 16 and 17 d. 16 and 15
Use quantitative methods for the data shown below: Period 1 2 3 4 5 6 7 Observation 24 34 36 37 41 44 45 i) Naïve method: ii) Three period moving average iii) Three period Weighted moving average iiii)Four-period Moving Average iiiii)Four-period Weighted Moving Average b. Plot the original time series and comment on the appropriateness of a linear trend.
Café Michigan's manager, Gary Stark, suspects that demand for mocha latte coffees depends on the price being charged. Based on historical observations, Gary has gathered the following data, which show the numbers of these coffees sold over six different price values: Price Number Sold $2.70 760 $3.40 515 $2.10 990 $4.10 250 $3.20 325 $4.10 475 Using simple linear regression LOADING... and given that the price per cup is $1.80, the forecasted demand for mocha latte coffees will be nothing cups (enter your response rounded to one decimal place).
Daily high temperatures in St. Louis for the last week were as follows: 92, 94, 95, 92, 95, 86, 95 (yesterday). degrees (round your response to one decimal a) The high temperature for today using a 3-day moving average = [ place). b) The high temperature for today using a 2-day moving average = place). degrees (round your response to one decimal c) The mean absolute deviation based on a 2-day moving average = degrees (round your response to one decimal place). d) The mean squared error for the 2-day moving average = degrees2 (round your response to one decimal place). e) The mean absolute percent error (MAPE) for the 2-day moving average=% (round your response to one decimal place). iev S

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