Essentials of Business Analytics (MindTap Course List)
Essentials of Business Analytics (MindTap Course List)
2nd Edition
ISBN: 9781305627734
Author: Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, David R. Anderson
Publisher: Cengage Learning
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Chapter 8, Problem 6P

Consider the following time series data:

Chapter 8, Problem 6P, Consider the following time series data:

Construct a time series plot. What type of pattern exists

  1. a. Construct a time series plot. What type of pattern exists in the data?
  2. b. Develop a three-week moving average for this time series. Compute MSE and a forecast for week 8.
  3. c. Use α = 0.2 to compute the exponential smoothing values for the time series. Compute MSE and a forecast for week 8.
  4. d. Compare the three-week moving average forecast with the exponential smoothing forecast using α = 0.2. Which appears to provide the better forecast based on MSE?
  5. e. Use trial and error to find a value of the exponential smoothing coefficient α that results in a smaller MSE than what you calculated for α = 0.2.
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1. Let X and Y be random variables and suppose that A = F. Prove that Z XI(A)+YI(A) is a random variable.

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Essentials of Business Analytics (MindTap Course List)

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