Business Analytics
3rd Edition
ISBN: 9780135231678
Author: Evans, James R. (james Robert)
Publisher: PEARSON EDUCATION (COLLEGE)
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Chapter 2, Problem 4.2CYU
In the Purchase Orders database, what will = VLOOKUP(4111,C4:J97, 5, TRUE) and =VLOOKUP(4111,C4:J97, 5, FALSE) find? Explain the difference.
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Hi, I need to make sure I have drafted a thorough analysis, so please answer the following questions. Based on the data in the attached image, develop a regression model to forecast the average sales of football magazines for each of the seven home games in the upcoming season (Year 10). That is, you should construct a single regression model and use it to estimate the average demand for the seven home games in Year 10. In addition to the variables provided, you may create new variables based on these variables or based on observations of your analysis. Be sure to provide a thorough analysis of your final model (residual diagnostics) and provide assessments of its accuracy. What insights are available based on your regression model?
I want to make sure that I included all possible variables and observations. There is a considerable amount of data in the images below, but not all of it may be useful for your purposes. Are there variables contained in the file that you would exclude from a forecast model to determine football magazine sales in Year 10? If so, why? Are there particular observations of football magazine sales from previous years that you would exclude from your forecasting model? If so, why?
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Chapter 2 Solutions
Business Analytics
Ch. 2 - Explain the difference between a data set and a...Ch. 2 - For the Monthly Product Sales Excel file, use the...Ch. 2 - For the Monthly Product Sales Excel file, use the...Ch. 2 - What does the term filtering mean in the context...Ch. 2 - Convert the Credit Risk database to an Excel...Ch. 2 - Sort the data in the purchase orders database from...Ch. 2 - Prob. 2.4CYUCh. 2 - Prob. 3.1CYUCh. 2 - Prob. 3.2CYUCh. 2 - Prob. 3.3CYU
Ch. 2 - Prob. 4.1CYUCh. 2 - In the Purchase Orders database, what will =...Ch. 2 - Prob. 4.3CYUCh. 2 - Prob. 5.1CYUCh. 2 - Prob. 5.2CYUCh. 2 - Prob. 5.3CYUCh. 2 - Prob. 5.4CYUCh. 2 - Prob. 6.1CYUCh. 2 - Prob. 6.2CYUCh. 2 - Prob. 6.3CYUCh. 2 - The Excel file MBA Motivation and Salary...Ch. 2 - Prob. 2PECh. 2 - The Budget Forecasting database shows estimated...Ch. 2 - Convert the Store and Regional Sales database to...Ch. 2 - Convert the Purchase Orders database to an Excel...Ch. 2 - Prob. 6PECh. 2 - The Excel file Corporate Default Database...Ch. 2 - Open the Excel file Store and Regional Sales...Ch. 2 - In the Excel file Automobile Quality, search for...Ch. 2 - In the Purchase Orders database, conduct a Pareto...Ch. 2 - Conduct a Pareto analysis for the number of...Ch. 2 - Prob. 12PECh. 2 - In the Sales Transactions database, use Excels...Ch. 2 - Filter the data in the Bicycle Inventory database...Ch. 2 - Use the Excel file Credit Risk Data that was...Ch. 2 - Apply the Advanced Filter to the Credit Risk Data...Ch. 2 - Prob. 17PECh. 2 - Prob. 18PECh. 2 - Modify the data in the Base Data worksheet in the...Ch. 2 - Prob. 20PECh. 2 - Figure 2.41 shows the 2016 U.S. federal income tax...Ch. 2 - For the Bicycle Inventory database, write a...Ch. 2 - Prob. 23PECh. 2 - A manager needs to identify some information from...Ch. 2 - The Excel file SP 500 provides open, high, low,...Ch. 2 - Enhance the Sales Transactions database file to...Ch. 2 - Prob. 27PECh. 2 - For this exercise, use the Purchase Orders...Ch. 2 - Use INDEX and MATCH functions to fill in a table...Ch. 2 - Prob. 30PECh. 2 - Prob. 31PECh. 2 - Prob. 32PECh. 2 - Prob. 33PECh. 2 - Prob. 34PECh. 2 - A college graduate who is living in Cincinnati...Ch. 2 - The Excel file Payroll Data provides hourly...Ch. 2 - Construct PivotTables showing the counts of gender...Ch. 2 - Prob. 38PECh. 2 - Prob. 39PECh. 2 - Prob. 40PECh. 2 - Prob. 2.1C
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