18. New car sales for a dealer in Cook County, Illinois, for the past year are shown in the followingtable, along with monthly indexes (seasonal relatives), which are supplied to the dealer by theregional distributor.MonthJan.Feb.Mar.Apr.May.Jun.Jul.Aug.Sept.Oct.Nov.Dec.Units Sold640648630761735850765805840828840800Index0.800.800.700.940.891.000.901.151.201.201.251.25a. Plot the data. Does there seem to be a trend?b. Deseasonalize car sales.c. Plot the deseasonalized data on the same graph as the original data. Comment on the twographs.d. Assuming no proactive approach on the part of management, discuss (no calculations neces-sary) how you would forecast sales for the first three months of the next year.e. What action might management consider based on your findings in part b?

NOTE: We are allowed to do first three sub-parts only. Deseasonalized sales forecast is a method of…

Answered: a. Plot the data. Does there seem to be…

Practical Management Science

6th Edition

ISBN:9781337406659

Author:WINSTON, Wayne L.

Publisher:WINSTON, Wayne L.

Chapter2: Introduction To Spreadsheet Modeling

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Problem 20P: Julie James is opening a lemonade stand. She believes the fixed cost per week of running the stand...

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Which of the following is not true of qualitative forecasting methods? a. They generally work best when combined with a quantitative approach b. They are more objective than quantitative methods c. They are largely non-mathematical d. They are not restricted to only the quantifiable data e. They come with the danger of biasing the forecast due to subjectivity Explain both true and false options briefly
Which of the following is not a type of qualitative forecasting? A. Delphi method B. naive approach C. decision maker's intuition D. market survey E. sales force composite
2. The sample mean is both an unbiased and consistent estimator of the population mean.In plain language, describe the meaning of these terms.3. Standard deviationa. Explicitly write out the formula for a sample standard deviation (you can useeither Word’s equation editor or hand write it and paste a screenshot of yourhandwritten formula).b. Using the following table, explicitly calculate the deviation from the mean for thetwo blank boxes where “DIFF from MEAN” = Cancer Death - MEAN.
Which of the following statements is/are not true about regression models? Lütfen bir ya da daha fazlasını seçin: A. The dependent variable is the explanatory variable. B. The error is found by subtracting the actual data value from the predicted data value. C. The intercept coefficient is not typically interpreted. D. Estimates of the slope are found from sample data. E. The regression line minimizes the sum of the squared errors.
Assume that the data in columns A and B report the new constructions of residential homes, per month, in thousands, from 2015 to 2020 in the state of Oregon. a) Chart the data. Discuss any apparent trend and seasonal patterns. b) Use the "Tahoe Salt" method with linear trend to forecast new constructions for the 12 months of 2021. c) Add your model values and forecast to the data chart. d) Compute the MAD of your model. e) Compute and plot the tracking signal in a new chart. f) Discuss the quality of this model. What is the flagrant flaw? g) Suggest an approach that would yield better results in terms of forecast values, MAD, and tracking signal. An appropriate narrative argument is sufficient (i.e., one or two sentences). You do not need to do calculations for this part.
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Pls answer b and c
Which of the following are qualitative methods of forecasting? a. Sales force composite O b. Market survey O C. All of the above O d. Delphi method
Which modeling techniques are suitable to build a predictive model ? (Multiple answer may be correct) Group of answer choices Multiple linear regression Classification tree Logistic regression Clustering
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An example of the Quantitative Method of forecasting is O Multiple Regression Market Research O the Delphi Methode O Jury of Executive Opinion

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a. Plot the data. Does there seem to be a trend? b. Deseasonalize car sales. c. Plot the deseasonalized data on the same graph as the original data. Comment on the two graphs.