Month 1 2 3 4 5 No. of Cases 105 115 120 120 125 Month 6 7 8 9 10 No. of Cases 125 130 140 145 150 Please take note that these are just hypothetical and non-official figures, which are only meant for academic and computational exercises in Forecasting. In order to help the local government of Dagupan City to enhnace its Vaccination Plan, determine the forecast on the number of cases in the 11 month, using 5 forecasting techniques or models: the Naïve, Unweighted Moving Averages, Weighted Moving Averages, Exponential Smoothing, and Time-Series Regression models. Calculate the three (3) forecast errors in each of the techniques used: mean absolute deviation (MAD), mean absolute percentage error (MAPE), and mean squared error (MSE). Consistently limit your calculations to two (2) decimal places only. Page 1 of 7
Month 1 2 3 4 5 No. of Cases 105 115 120 120 125 Month 6 7 8 9 10 No. of Cases 125 130 140 145 150 Please take note that these are just hypothetical and non-official figures, which are only meant for academic and computational exercises in Forecasting. In order to help the local government of Dagupan City to enhnace its Vaccination Plan, determine the forecast on the number of cases in the 11 month, using 5 forecasting techniques or models: the Naïve, Unweighted Moving Averages, Weighted Moving Averages, Exponential Smoothing, and Time-Series Regression models. Calculate the three (3) forecast errors in each of the techniques used: mean absolute deviation (MAD), mean absolute percentage error (MAPE), and mean squared error (MSE). Consistently limit your calculations to two (2) decimal places only. Page 1 of 7
Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter2: Introduction To Spreadsheet Modeling
Section: Chapter Questions
Problem 20P: Julie James is opening a lemonade stand. She believes the fixed cost per week of running the stand...
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Transcribed Image Text:*
Month
1
2
3
4
5
me per
No. of Cases
105
115
120
120
125
Month
6
7
8
9
10
No. of Cases
125
130
140
145
150
Please take note that these are just hypothetical and non-official figures, which are only meant for
academic and computational exercises in Forecasting.
Page 1 of 7
In order to help the local government of Dagupan City to enhnace its Vaccination Plan, determine the forecast on the
number of cases in the 11 month, using 5 forecasting techniques or models: the Naïve, Unweighted Moving
Averages, Weighted Moving Averages, Exponential Smoothing, and Time-Series Regression models. Calculate the
three (3) forecast errors in each of the techniques used: mean absolute deviation (MAD), mean absolute percentage
error (MAPE), and mean squared error (MSE). Consistently limit your calculations to two (2) decimal places only.
Transcribed Image Text:1. Naïve Model:
Month
1
2
3
5
67
8
9
10
No. of
Cases (Xt)
105
115
120
120
125
125
130
140
145
150
Forecast for 11th month=
Ft
et
Mean Absolute Deviation (MAD) =
Mean Absolute Percentage Error (MAPE) =
Mean Squeared Error (MSE) =
|e|
%e
Sq e
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