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Q6.EXponential Smoothing [16 6, 4, 6] In Ch6, we analyzed the number of occupied rooms for a hotel chain (Example 6.6) with time series regression.
Q6.EXponential Smoothing [16 6, 4, 6] In Ch6, we analyzed the number of occupied rooms for a hotel chain (Example 6.6) with time series regression. Please download the modied dataset, hatched, from Canvas and answer the following questions: A. If we need to use an Exponential smoothing method to analyze the hotel_room time series, which method is the most appropriate method to use? Choose one from Simple Exponential Smoothing (SE8), Holt's Trend Corrected Exponential Smoothing (Holt's), Additive Holt-Winters Method (A-HW), Multiplicative Holt-Winters method (M-HW). State your reason clearly. B. With the Exponential smoothing method you identify in part A., use the R function to t the data. Write down your smoothing parameters with the same notations we use in class. C. Generate a time series plot: including the original time series and point forecasts for the next 20 months only
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