EBK BUSINESS ANALYTICS
EBK BUSINESS ANALYTICS
3rd Edition
ISBN: 9780136880844
Author: Evans
Publisher: PEARSON
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Chapter 2, Problem 25PE

The Excel file S & P   500 provides open, high, low, and close values for the S&P 500 index over a period of time.

  1. Enter any date (using the format month/day/year) within the range of the data in cell G2 . Use a MATCH function in cell G3 to find the row in the database that corresponds to this date.
  2. Write an INDEX function in cell G4 that finds the closing value on this date using your answer to part a.
  3. Combine the MATCH and INDEX functions in parts a and b into one function that displays the closing value in cell G5 .

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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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