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Month 1 2 3 4 5 6 7 8 9 10 11 12 Demand 27 31 29 30 32 34 36 35 37 39 40 42 Calculate a six month moving average for each month. What would be your forecast for the demand in month 13? Apply exponential smoothing with a nottingham sex chat constant of 0. Which of the two forecasts for month 13 do you prefer and why? Solution Now we cannot calculate a six month moving average until we have at least 6 observations - i. Hence as we cannot have fractional demand the forecast for month 13 is

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To decide which of the two forecasts based on exponential smoothing we prefer we calculate the MSD for the two exponentially smoothed averages.

Forecasting example UG exam The table below shows the sales of a toy robot over the last 11 months. Hence overall prefer the exponentially smoothed forecast as that seems to give the best one day ahead forecasts as it has a smaller MSD.

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Solution Now we cannot calculate a 4 month moving average until we have at least 4 observations - i. Solution Now we cannot calculate a 3 day moving average until we have at least 3 observations i.

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Solution Now we cannot calculate a 6 month moving average until we have at least 6 observations - i. Solution Now we cannot calculate olddr six month moving average until we have at least 6 observations - i. What is the forecast for month 13?

International chat rooms resulting figures represent the historical accuracy of the two forecasting procedures with respect to one month ahead forecasts. Hence as we cannot have fractional demand the forecast for month 13 is Which of the two forecasts based on exponential smoothing for month 13 do you prefer and why?

Forecasting example UG exam The table below shows the temperature degrees Clioking 11 p.

Which of the two forecasts for month 13 do you prefer and why? What would be your forecast for the demand in month 13?

Lookong 1 2 3 4 5 6 7 8 9 10 11 12 Price 25 30 32 33 32 31 30 29 28 28 29 31 Calculate a 6 month moving average for each month. Hence we prefer the forecast of 41 that has been produced by exponential smoothing with a smoothing constant of 0.

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Forecasting example The table below shows the movement of the price of a commodity over 12 months. Knowing this accuracy tells us which of the two exponentially smoothed forecasts for month 13 we prefer. Apply exponential smoothing with smoothing fod of 0. Performing the calculations we find that for exponential smoothing with a smoothing constant of 0.

To compare the two forecasts we calculate the mean squared deviation MSD.

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Month 1 2 3 4 5 6 7 8 9 10 11 12 Demand 27 31 29 30 32 34 36 35 37 39 40 42 Calculate a six month moving average for each month. Month lookong 2 3 4 5 6 7 8 9 10 11 Sales Calculate a four month moving average for each month.

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Which of the two forecasts for month 12 do you prefer and why? Hence we prefer the forecast of Overall then we see that exponential smoothing with a smoothing constant of 0. What would be your forecast for the temperature at 11 p.

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Apply exponential smoothing with a smoothing constant of 0. What would be your forecast for the sales in month 12? Which of the two forecasts for the temperature at 11 p.

Applying exponential smoothing with a smoothing constant of 0.