5. The following table includes the information about a monthly time series. Month Time Series January 21 February 17 March 19 April 24 When the exponential smoothing method with a = 0.1 is applied, what is the mean absolute deviation (MAD)? A. 20.796. В. 9.16. С. 3.05. D. 3.56. 6. The following table includes the information about a monthly time series. Month Time Series January 21 |February 17 March 19 April 24 When the exponential (MSE)? thing method with a = 0.5 is applied, what is the mean square err A. 21.5. В. 25. С. 41. D. 13.67.

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Chapter4: Linear Functions
Section4.3: Fitting Linear Models To Data
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5. The following table includes the information about a monthly time series.
Month
Time Series
January
21
February
17
March
19
April
24
When the exponential smoothing method with a = 0.1 is applied, what is the mean absolute
deviation (MAD)?
A. 20.796.
В. 9.16.
С. 3.05.
D. 3.56.
6. The following table includes the information about a monthly time series.
Month
Time Series
January
21
February
17
March
19
April
24
When the exponential smoothing method with a = 0.5 is applied, what is the mean square error
(MSE)?
A. 21.5.
В. 25.
С. 41.
D. 13.67.
Transcribed Image Text:5. The following table includes the information about a monthly time series. Month Time Series January 21 February 17 March 19 April 24 When the exponential smoothing method with a = 0.1 is applied, what is the mean absolute deviation (MAD)? A. 20.796. В. 9.16. С. 3.05. D. 3.56. 6. The following table includes the information about a monthly time series. Month Time Series January 21 February 17 March 19 April 24 When the exponential smoothing method with a = 0.5 is applied, what is the mean square error (MSE)? A. 21.5. В. 25. С. 41. D. 13.67.
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