Practical Management Science
6th Edition
ISBN: 9781337406659
Author: WINSTON, Wayne L.
Publisher: Cengage,
expand_more
expand_more
format_list_bulleted
Concept explainers
Videos
Textbook Question
Chapter 13.3, Problem 2P
The file P13_02.xlsx contains five years of monthly data on sales (number of units sold) for a particular company. The company suspects that except for random noise, its sales are growing by a constant percentage each month and will continue to do so for at least the near future.
- a. Explain briefly whether the plot of the series visually supports the company’s suspicion.
- b. By what percentage are sales increasing each month?
- c. What is the MAPE for the
forecast model in part b? In words, what does it measure? Considering its magnitude, does the model seem to be doing a good job? - d. In words, how does the model make forecasts for future months? Specifically, given the forecast value for the last month in the data set, what simple arithmetic could you use to obtain forecasts for the next few months?
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solution
Students have asked these similar questions
Indicate whether the data are time series or cross-sectional.
Number of cars sold by each salesperson in a dealership in October
Choose the correct answer below.
About
A. The data are cross-sectional because the data are measured over time.
B. The data are cross-sectional because the data are taken from situations that vary over time but are measured at a single time instant.
OC. The data are time series because the data are taken from situations that vary over time but are measured at a single time instant.
D. The data are time series because the data are measured over time.
Click to select your answer.
Question Help
What is the advantage of a dot plot over a histogram?
Group of answer choices
1. Preserves the original data in the plot
2. Shows shape of the data in the plot
3. Shows spread of the data in the plot
4. Shows central location of the data
5. Shows priority of categories
The following table shows the number of televisions sold over the last ten years at a local electronic store.
Year
TV Sales
1.
150
2.
300
3.
480
4.
600
5.
630
6.
640
7.
700
8.
825
9.
900
10.
980
Using trend projection, develop a formula to predict sales for years 11 and 12. You have to show all working. You will need to develop a table to calculate the slope and the intercept. [9 marks]
2. Use that formula to forecast television sales for years 11 and 12. [2 marks]
Chapter 13 Solutions
Practical Management Science
Ch. 13.3 - The file P13_01.xlsx contains the monthly number...Ch. 13.3 - The file P13_02.xlsx contains five years of...Ch. 13.3 - The file P13_03.xlsx contains monthly data on...Ch. 13.3 - The file P13_04.xlsx lists the monthly sales for a...Ch. 13.3 - Management of a home appliance store wants to...Ch. 13.3 - Do the sales prices of houses in a given community...Ch. 13.3 - Prob. 7PCh. 13.3 - The management of a technology company is trying...Ch. 13.3 - Prob. 9PCh. 13.3 - Sometimes curvature in a scatterplot can be fit...
Ch. 13.4 - Prob. 12PCh. 13.4 - A trucking company wants to predict the yearly...Ch. 13.4 - An antique collector believes that the price...Ch. 13.4 - Stock market analysts are continually looking for...Ch. 13.4 - Suppose that a regional express delivery service...Ch. 13.4 - The owner of a restaurant in Bloomington, Indiana,...Ch. 13.6 - The file P13_19.xlsx contains the weekly sales of...Ch. 13.6 - The file P13_20.xlsx contains the monthly sales of...Ch. 13.6 - The file P13_21.xlsx contains the weekly sales of...Ch. 13.6 - The file P13_22.xlsx contains total monthly U.S....Ch. 13.7 - You have been assigned to forecast the number of...Ch. 13.7 - Simple exponential smoothing with = 0.3 is being...Ch. 13.7 - The file P13_25.xlsx contains the quarterly...Ch. 13.7 - The file P13_26.xlsx contains the monthly number...Ch. 13.7 - The file P13_27.xlsx contains yearly data on the...Ch. 13.7 - The file P13_28.xlsx contains monthly retail sales...Ch. 13.7 - The file P13_29.xlsx contains monthly time series...Ch. 13.7 - A version of simple exponential smoothing can be...Ch. 13 - Prob. 31PCh. 13 - Prob. 32PCh. 13 - Management of a home appliance store would like to...Ch. 13 - A small computer chip manufacturer wants to...Ch. 13 - The file P13_35.xlsx contains the amount of money...Ch. 13 - Prob. 36PCh. 13 - Prob. 37PCh. 13 - Prob. 39PCh. 13 - The Baker Company wants to develop a budget to...Ch. 13 - Prob. 41PCh. 13 - The file P13_42.xlsx contains monthly data on...Ch. 13 - Prob. 43PCh. 13 - Prob. 44PCh. 13 - Prob. 45PCh. 13 - Prob. 46PCh. 13 - Prob. 49P
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, operations-management and related others by exploring similar questions and additional content below.Similar questions
- The file P13_21.xlsx contains the weekly sales of rakes at a hardware store for a two-year period. Use the moving averages method, with spans of your choice, to forecast sales for the next 30 weeks. Does this method appear to track sales well? If not, what might be the reason?arrow_forwardThe file P13_20.xlsx contains the monthly sales of iPod cases at an electronics store for a two-year period. Use the moving averages method, with spans of your choice, to forecast sales for the next six months. Does this method appear to track sales well? If not, what might be the reason?arrow_forwardThe file P13_03.xlsx contains monthly data on production levels and production costs during a four-year period for a company that produces a single product. Use simple regression on all of the data to see how Total Cost is related to Units Produced. Use the resulting equation to predict total cost in month 49, given that the proposed production level for that month is 450 units. Do you see anything wrong with the analysis? How should you modify your analysis if your main task is to find an equation useful for predicting future costs, and you know that the company installed new machinery at the end of month 18? Write a concise memo to management that describes your findings.arrow_forward
- 48- The maximum number of sales that can occur in a given period to an individual or businesses that are willing to sell in a given market is known as: a. Product demand b. Market potential c. Market demand d. All the options are correctarrow_forwardWhat type of question is this example below? Please indicate how important each of the following attributes is to you when purchasing mayonnaise. Please use a scale from 1 to 5 where 5 = Extremely Important and 1 = Not At All Important [TABLE HEADING] ROWS RANDOMIZE Is available in different sizes to choose from Is regularly offered on sale Is offered at a regular price I am willing to pay Is low in fat Ratio Ordinal Nominal Open End Intervalarrow_forwardParaphrase this one. Analyze and elaborate in 120 words. Predictive analytics involves a statistical approach called regression, which helps us uncover connections between different factors. This technique is valuable for spotting trends within extensive sets of information and figuring out how various inputs relate to each other. It shines brightest when dealing with continuous information that follows an established pattern. Regression frequently comes into play when we want to understand the impact of one or more independent factors on another. For instance, it aids in grasping the effect of raising prices on product sales. This tool holds the key to unraveling hidden insights in data that might otherwise remain unnoticed.arrow_forward
- A cosmetic manufacturer wants to understand why users shop online versus in store, and how they might take better advantage of the online channel; the manufacturer wants to make improvements to the company’s website. The manufacturer also wants to find out why Nordstrom.com (a competitor’s website) appeals to cosmetic consumers versus other websites. The cosmetic manufacturer also wants to find ways to improve consumers’ in-store experience. Further, the manufacturer wants to produce a three (3) month sales forecast based on the data produced from the research. Objectives: Why users shop online versus in store How to take advantage of the online channel How to improve the company’s website Why does Nordstrom.com (their competitor) appeal to cosmetic consumers versus other websites. Ways to improve consumers’ in-store experience Requireed: Produce fictitious findings, chart and dat analysis that relate back to the objectives.arrow_forwardSolve for the predicted values of y and the residuals for the following data. Advertising 12.5 3.7 21.5 60.0 37.6 6.1 16.6 41.2 Sales 141 55 338 994 542 89 126 379 (Do not round the intermediate values. Round your answers to 4 decimal places, e.g. 1.7585.) y Predicted ( ŷ ) Residuals (y – ŷ ) 12.5 141 3.7 55 21.5 338 60.0 994 37.6 141 6.1 89 16.6 126 41.2 379arrow_forwardThis data sufficiency problem consists of a question and two statements, labeled (1) and (2), in which certain data are given. You have to decide whether the data given in the statements are sufficient for answering the question. Using the data given in the statements, plus your knowledge of mathematics and everyday facts (such as the number of days in July or the meaning of the word counterclockwise), you must indicate whether:- Statement (1) ALONE is sufficient, but statement (2) alone is not sufficient to answer the question asked.- Statement (2) ALONE is sufficient, but statement (1) alone is not sufficient to answer the question asked.- BOTH statements (1) and (2) TOGETHER are sufficient to answer the question asked, but NEITHER statement ALONE is sufficient to answer the question asked.- EACH statement ALONE is sufficient to answer the question asked.- Statements (1) and (2) TOGETHER are NOT sufficient to answer the question asked, and additional data specific to the problem are…arrow_forward
- Which of the statements below, regarding the tax reporting requirements applicable to Commodity Credit Corporation (CCC) loans, is NOT correct? (A) A farmer can elect each year whether or not to report loan proceeds when received. (B) A farmer can request income tax withholding from CCC loan payments received. (C) A CCC loan amount is normally taxable in the year the pledged commodity is sold. (D) A farmer can elect to report the loan amount in the year the proceeds are received.arrow_forwardRegarding an ARM, which of the following statements is accurate in describing the index type? A) The applicant decides which Index type the ARM will use when they apply for a loan, and the index type generally will not change after loan closing. B) The lender decides which index type the ARM will use when an applicant applies for a loan, and the index type generally will change after loan closing. C) The lender decides which index type the ARM will use when an applicant applies for a loan, and the index type generally will not change after loan closing. D) The title company decides which index type the ARM will use when an applicant closes the loan, and the index type generally will change after loan closingarrow_forwardThe finance managers’ function is to find out how much finances required to acquire fixed assets and forecast the amount needed to meet the working capital requirements in future is called __. a.Acquiring finance b.Managing funds c.All of these d.Forecasting finance 18.Which one of the financial intermediaries act as middlemen between depositors and lenders who are the users of funds? a.Finance companies b.Commercial bank c.Investment bank d.All of the optionsarrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
Practical Management ScienceOperations ManagementISBN:9781337406659Author:WINSTON, Wayne L.Publisher:Cengage,
Practical Management Science
Operations Management
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:Cengage,
Single Exponential Smoothing & Weighted Moving Average Time Series Forecasting; Author: Matt Macarty;https://www.youtube.com/watch?v=IjETktmL4Kg;License: Standard YouTube License, CC-BY
Introduction to Forecasting - with Examples; Author: Dr. Bharatendra Rai;https://www.youtube.com/watch?v=98K7AG32qv8;License: Standard Youtube License