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EBK BUSINESS ANALYTICS
3rd Edition
ISBN: 9780135231906
Author: Evans
Publisher: VST
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Textbook Question
Chapter 3, Problem 15PE
Apply three different colors of data bars to lunch, dinner, and delivery sales in the Excel file Restaurant Sales to visualize the relative amounts of sales. Then sort the data by the day of the week beginning on Sunday. Compare the nonsorted data with the sorted data and comment on the information content of the visualizations.
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Students have asked these similar questions
The following table shows a company's annual revenue (in billions of dollars) for 2009 to 2014.
Year
Period (t)
Revenue ($ billions)
2009
1
23.8
2010
29.2
2011
37.9
2012
4
50.3
2013
59.8
2014
6
66.6
(a) Construct a time series plot.
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20
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10 -
10-
4.
6
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4
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7
Period
Period
Period
Period
What type of pattern exists in the data?
O The time series plot shows an upward linear trend.
O The time series plot shows a downward curvilinear trend.
O The time series plot shows a downward linear trend.
O The time series plot shows an upward curvilinear trend.
(b) Develop a linear trend equation for this time series to forecast revenue (in billions of dollars). (Round your numerical values to three decimal places.)
T =
(c) What is the average revenue increase per year (in billions of dollars) that this company has been realizing? (Round your answer to three decimal places.)
billion
Revenue ($ billions)
Revenue ($ billions)…
Suppose a researcher collected data for his study from the annual financial reports of the ABC company. Which type of data he had collected?
a.
Intermediate data
b.
Primary data
c.
Secondary data
d.
Tertiary data
What is differ from SMA (Simple moving average), WMA (Weighted moving average), SLR (Single linear regression), and ESM ( Exponential smoothing model).
Chapter 3 Solutions
EBK BUSINESS ANALYTICS
Ch. 3 - Prob. 2PECh. 3 - Create a line chart for the closing prices for all...Ch. 3 - Create a pie chart showing the breakdown of...Ch. 3 - Create a stacked area chart contrasting primary...Ch. 3 - A national homebuilder builds single-family homes...Ch. 3 - The Excel file Facebook Survey provides data...Ch. 3 - Create a bubble chart for the first five colleges...Ch. 3 - Construct a column chart for the data in the Excel...Ch. 3 - The Excel file Internet Usage provides data about...Ch. 3 - Construct an appropriate chart to show the...
Ch. 3 - A marketing researcher surveyed 92 individuals,...Ch. 3 - In the Excel file Banking Data, apply the...Ch. 3 - Apply three different colors of data bars to...Ch. 3 - For the Store and Regional Sales database, apply a...Ch. 3 - For the Excel file Closing Stock Prices, apply...Ch. 3 - Create a useful dashboard for the data in the...Ch. 3 - Create a useful dashboard for the data in the...Ch. 3 - Create a useful dashboard for the data in the...
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Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, subject and related others by exploring similar questions and additional content below.Similar questions
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- The file P13_29.xlsx contains monthly time series data for total U.S. retail sales of building materials (which includes retail sales of building materials, hardware and garden supply stores, and mobile home dealers). a. Is seasonality present in these data? If so, characterize the seasonality pattern. b. Use Winters method to forecast this series with smoothing constants = = 0.1 and = 0.3. Does the forecast series seem to track the seasonal pattern well? What are your forecasts for the next 12 months?arrow_forwardThe file P13_27.xlsx contains yearly data on the proportion of Americans under the age of 18 living below the poverty level. a. Create a time series chart of the data. Based on what you see, which of the exponential smoothing models do you think will provide the best forecasting model? Why? b. Use simple exponential smoothing to forecast these data, using a smoothing constant of 0.1. c. Repeat part b, but search for the smoothing constant that makes RMSE as small as possible. Create a chart of the series with the forecasts superimposed from this optimal smoothing constant. Does it make much of an improvement over the model in part b? d. Write a short report to summarize your results. Considering the chart in part c, would you say the forecasts are good?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_forward
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