General Motors would like an estimate of the chance that Tesla will bring thecost of batteries down from $300 per kWh to $70. Dr. Tetlock has developeda process whereby selected teams are better estimators of futureprobabilities than experts, General Motors is willing to pay Dr. Tetlock for histeams'O scenariosO contingency plansO forecasts

The contingency plans and scenarios are the means for anticipating future conditions. Contingency…

Answered: General Motors would like an estimate…

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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This type of analysis is most appropriate when the past is a good predictor of the future.
The treasury manager of a chain of clothing stores wants to develop a medium-term forecast. Management plans to open two new stores, and anticipates same-store sales to increase by 15%. Which of the following items can be predicted with the highest degree of certainty? Group of answer choices Taxes on the exercise of stock options fixed bond interest payments new product sales new franchise fees Loss exposures related to treasury management may include which of the following? Group of answer choices losses due to faulty investment of cash reserves product safety recalls litigation costs for intellectual property infringement bank consolidation
Discuss the following statement: “Economists are predicting that interest rates willcontinue to be under 10 percent for at least 15 years.”
Suppose a firm has had the following historic sales figures. Year: 2016 2017 2018 2019 Sales $3,400,000 $4,650,000 $3,300,000 $2,900,000 What would be the forecast for next year's sales using the naïve approach? Answer is complete but not entirely correct. Next year's sales $ 3,550,000 2020 $3,500,000
If descriptive analytics focuses on summarizing historical data to gain insights into past events and trends and predictive analytics focused on forecasting future outcomes. What is the significance of the relationship between the past and the future?
Movieflix, an online movie streaming service that offers a wide variety of award-winning TV shows, movies, animes, and documentaries, would like to determine the mathematical trend of memberships in order to project future needs. Year 2013 2014 2015 2016 2017 2018 2019 2020 2021Membership (000s) 17 16 16 21 20 20 23 25 24 1. Provide an example of qualitative forecasting and explain the shortcomings.
Movieflix, an online movie streaming service that offers a wide variety of award-winning TV shows, movies, animes, and documentaries, would like to determine the mathematical trend of memberships in order to project future needs. Year 2013 2014 2015 2016 2017 2018 2019 2020 2021Membership (000s) 17 16 16 21 20 20 23 25 24 1. What are the issues associated with qualitative forecasting, and how are these overcome?
The following table shows a tool and die company's quarterly sales for the current year. What sales would you predict for the first quarter of next year? Quarter relatives are SR= .94, SR,- 97, SR= 97, and SR, 112. For the trend forecast (T), add the difference between quarter 3 and quarter 4's deseasonalized sales data to the deseasonalized quarter 4 sales. (Round your answer to 1 decimal place.) Quarter Sales 84.6 83.0 84.7 108.0
This a 4 part question that am confused about. Please show the work by hand not excel. 4-1 Sales of a particular product (in the thousands of dollars) for the years 2015 through 2018 have been $48,000, $64,000, $67,000 and $83,000 respectively. (a)What sales would you predict for 2019, using simple four-year moving avaerage? (b) What sales would you predict for 2019, using a weighted moving average with weights of 0.50 for the immediate preceding year and 0.3, 0.15, and 0.05 for the three years before that? (I am able to calculate and know the answer for (a) $65,000 and (b) $73,000. What I don't understand is the following : 4-2 Using exponential smoothing with a weight of 0.6 on actual values: (a) If sales are $45,000 and $50,000 for 2017 and 2018, what would you forecast for 2019 ? (The first forecast is equal to the value of the preceding year.) (b) Given this forecast and actual 2019 sales of $53,000, what would you then forecast for 2020? 4-3 In Problem 4-1, taking…
The sales and profit of a clothing organization are represented in the table below. This given data is used in forecasting and mainly decision making, accordingly: Sales , x ( in millions of dollars) Profits, y (in millions of dollars) 1.5 0.1 3.5 0.12 5.4 0.13 6.5 0.17 8 0.21 10 0.27 11 0.25 12 0.24 15 0.28 16 0.30 16.5 0.356 21 0.44 22 0.475 State three advantages of forecasting within an organization. What type of forecasting is being done within this organization? Explain why. pleasse make sure the answer is correct 100%
How do you say "predictive analysis," and what is it? Describe how this might be used.
The long-term financial forecast plays a crucial part in the company's long-term strategic plan. True or False True False 25 28 étv N 4

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