Multiple Choice
Which of the following is not a method for dealing with seasonality in data?
A) Winter's exponential smoothing model
B) deseasonalizing the data, using any forecasting model, then reseasonalizing the data
C) multiple regression with lags for the seasons
D) multiple regression with dummy variables for the seasons
Correct Answer:

Verified
Correct Answer:
Verified
Q20: A trend component of a time series
Q22: Extrapolation forecasting methods are quantitative methods that
Q69: As is the case with residuals from
Q71: To calculate the five-period moving average for
Q83: The cyclic component of a time series
Q83: In exponential smoothing models,the forecast is based
Q87: The moving average method can also be
Q92: The random walk model is written as:
Q93: The idea behind the runs test is
Q95: Holt's model differs from simple exponential smoothing