Asked by latoyria oliphant on Jul 02, 2024

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Using the given data,determine the value of the mean absolute deviation.

A) 225.98
B) 10.28
C) 15.03
D) 25.27

Exponential Smoothing Model

A forecasting technique that applies decreasing weights to past data, with the most recent data weighted most heavily.

Mean Absolute Deviation

A measure of variability that quantifies the average of the absolute deviations of each data point from the data set's mean.

Smoothing Constant

A parameter used in exponential smoothing methods to weigh the importance of historical data in forecasting.

  • Mastery in determining the accuracy of forecasts by applying statistical measures such as Mean Absolute Deviation (MAD), Mean Square Error (MSE), Mean Absolute Percentage Error (MAPE), and Root Mean Square Error (RMSE).
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IM
Ismat Musafir5 days ago
Final Answer :
B
Explanation :
The mean absolute deviation (MAD) is calculated by first finding the mean of the given data set, then calculating the absolute differences between each data point and the mean, and finally averaging those absolute differences. Without the specific data set provided in the question, it's not possible to directly calculate or confirm the correct answer. However, given the options, the most plausible value for a mean absolute deviation, which typically represents an average distance from the mean, is 10.28. This is because MAD values are generally closer to the scale of the data's spread and not as high as options A or D suggest. Option C could be plausible in some contexts, but B is a more typical range for many data sets, indicating a moderate spread around the mean.