Question 1 Double Exponential Smoothing should be applied to time series with ____________________. Group of answer choices a. no trend and no seasonality. b. trend but no seasonality. c. seasonality but no trend. d. both trend and seasonality. Question 2 An analyst fits a Holt’s Double exponential smoothing model in StatTools to a time series data on sales with the smoothing parameters to be optimized by the software. In the output she notes that the optimized smoothing parameter for trend to be 0.0000. What does this imply? Group of answer choices a. There is no trend in the data. b. There is both trend and seasonality in the data. c. There could be trend in the data, but it is not smoothed over time by the model. d. This output does not make any sense!
Question 1 Double Exponential Smoothing should be applied to time series with ____________________. Group of answer choices a. no trend and no seasonality. b. trend but no seasonality. c. seasonality but no trend. d. both trend and seasonality. Question 2 An analyst fits a Holt’s Double exponential smoothing model in StatTools to a time series data on sales with the smoothing parameters to be optimized by the software. In the output she notes that the optimized smoothing parameter for trend to be 0.0000. What does this imply? Group of answer choices a. There is no trend in the data. b. There is both trend and seasonality in the data. c. There could be trend in the data, but it is not smoothed over time by the model. d. This output does not make any sense!
Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter13: Regression And Forecasting Models
Section13.7: Exponential Smoothing Models
Problem 28P: The file P13_28.xlsx contains monthly retail sales of U.S. liquor stores. a. Is seasonality present...
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Question 1
Double Exponential Smoothing should be applied to time series with ____________________.
Group of answer choices
a. no trend and no seasonality.
b. trend but no seasonality.
c. seasonality but no trend.
d. both trend and seasonality.
Question 2
An analyst fits a Holt’s Double exponential smoothing model in StatTools to a time series data on sales with the smoothing parameters to be optimized by the software. In the output she notes that the optimized smoothing parameter for trend to be 0.0000. What does this imply?
Group of answer choices
a. There is no trend in the data.
b. There is both trend and seasonality in the data.
c. There could be trend in the data, but it is not smoothed over time by the model.
d. This output does not make any sense!
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