The time series for sales of table salt is relatively stationary over time. Several different forecasts were created using a three-period simple moving average, a five-period simple moving average, simple exponential smoothing using a = 0.8, and simple exponential smoothing using a= 0.3. The MAD was calculated for each forecast. These values are shown in the table below. Based on this information, which of the following statements is true? Forecast Type MAD Three-Period Simple Moving Average Five-Period Simple Moving Average Simple Exponential Smoothing, a = 0.8 Simple Exponential Smoothing, a = 0.3 1.56 2.58 0.75 0.98 Multiple Choice The simple exponential smoothing with alpha = 0.8 is the best model as its MAD is smallest. Either exponential smoothing model is recommended as both have MAD values below 1.00. Any of these models are recommended as the MAD values are all positive. The five-period simple moving average is the best forecast model as its MAD is the largest.

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The time series for sales of table salt is relatively stationary over time. Several different forecasts were created using a three-period simple moving
average, a five-period simple moving average, simple exponential smoothing using a = 0.8, and simple exponential smoothing using a= 0.3. The MAD
was calculated for each forecast. These values are shown in the table below. Based on this information, which of the following statements is true?
Forecast Type
MAD
Three-Period Simple Moving Average
1.56
Five-Period Simple Moving Average
2.58
Simple Exponential Smoothing, a = 0.8
Simple Exponential Smoothing, a = 0.3
0.75
0.98
Multiple Choice
The simple exponential smoothing with alpha = 0.8 is the best model as its MAD is smallest.
Either exponential smoothing model is recommended as both have MAD values below 1.00.
Any of these models are recommended as the MAD values are all positive.
The five-period simple moving average is the best forecast model as its MAD is the largest.
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Transcribed Image Text:The time series for sales of table salt is relatively stationary over time. Several different forecasts were created using a three-period simple moving average, a five-period simple moving average, simple exponential smoothing using a = 0.8, and simple exponential smoothing using a= 0.3. The MAD was calculated for each forecast. These values are shown in the table below. Based on this information, which of the following statements is true? Forecast Type MAD Three-Period Simple Moving Average 1.56 Five-Period Simple Moving Average 2.58 Simple Exponential Smoothing, a = 0.8 Simple Exponential Smoothing, a = 0.3 0.75 0.98 Multiple Choice The simple exponential smoothing with alpha = 0.8 is the best model as its MAD is smallest. Either exponential smoothing model is recommended as both have MAD values below 1.00. Any of these models are recommended as the MAD values are all positive. The five-period simple moving average is the best forecast model as its MAD is the largest. < Prev. 47 of 50 Next >
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