(a)
Exponential moving forecast for the week of January 8 = (actual demand of Jan1 - EMA of Jan1)*α + EMA of Jan1
Exponential moving forecast for the week of January 8 = (450 – 500)*.1 + 500
Exponential moving forecast for the week of January 8 = 495
(b)
In causal model, cause and effect is established between dependent and independent variables. One or a set of independent variables makes impact upon the one dependent variable. It is established through the causal model of forecasting. In contrast to it, time series model takes time into the consideration and eliminate the impact of seasonality to smoothen the data. It helps in forecasting the future.
In causal model, value of dependent variable lies up the value of the independent variable. But, in time series model, past data of the variable is taken for analysis.
(a) A firm uses simple exponential smoothing with a = 0.1 to forecast demand. The forecast...
Please help!! QUESTION 7 Exponential smoothing including Trend (also known as Forecast Including Trend (FIT)) Assume an initial starting F1 of 20,000 units, a trend (T1) of 500 units, an alpha of 0.2, and a delta of 0.1. Alpha 0.2 Delta 0.1 A FIT E 1 21,000 20,000 500 21 21,610 3 1 The forecast including trend for period 1 (FIT1) would be component for period 2 (F2) would be for period 2 (FIT2) would be If the actual demand...
Using the data below, what is the simple exponential smoothing forecast for the 3rd week where a=0.3? Week Time Series Value 2.00 8.00 6.00 3.00 Submit Answer format: Number: Round to: 1 decimal places Based on the data below for chocolate demand per week and using the naive forecasting method, how much you should order for 5th week? Week Time Series Value 15.00 14.00 23.00 6.00 Submit Answer format: Number: Round to: O decimal places.
An analyst is using exponential smoothing to forecast the daily demand for a key product. The analyst starts with a naive forecast for time period 2, then begins using exponential smoothing with a smoothing constant of 0.15. The table below shows some of the calculations. period actual forecast 1 125 2 136 125 3 144 126.65 4 157 129.25 5 181 ? What is the predicted demand for time period 5? Round your answer to two decimal places. Period Actual...
Using the data below, what is the simple exponential smoothing forecast for the 4th week where a=0.4? Week Time Series Value 6.00 4.00 3.00 Submit Answer format: Number: Round to: 1 decimal places. Using the data below, what is the value of MSE? Month Actuals Forecast 4.00 8.00 4.00 5.00 Submit Answer format: Number: Round to: 2 decimal places.
Adry cleaner uses exponential smoothing to forecast couipment usage at its main plant dry usage was forecast to be 9096 and actual usage was 95% of capacity. A smoothing constant of 0.1 is in use. 1) Prepare a forecast for February m) Assuming actual February usage was 97%, prepare a forecast for March usage
Two experienced managers at Wilson Boat Inc. are resisting the introduction of a computerized exponential smoothing system, claiming that their judgmental forecasts are much better than any computer could do. Their past record of predictions is as follows: Week Actual Demand Manager's Forecast 1 3,800 4,400 2 4,100 4,800 3 4,300 3,700 4 3,100 3,800 5 3,900 3,500 6 4,500 3,500 7 5,700 4,900 8 4,000 4,700 9 4,500 3,500 10 4,900 5,400 How would the manager’s forecast compare to...
Question 9 (8 points) Use a simple exponential smoothing model with alpha = .3. The forecast for period 8 is? Use 2 decimal places Per Y
Given the following data, use exponential smoothing (α=0.2) to develop a demand forecast. Assume the forecast for the initial period is 5. Period Demand 4 5 7 913 8 The exponential smoothing forecast is (round your responses to two decimal places): Period 3 刄 7 Forecast 5.00
Which of the followings is not used in forecasting based on the simple exponential smoothing method? A) The most recent forecast for the past year B) Precise actual demand for the past year C) The value of the smoothing constant D) Trend for the past year Please explain.
i. Find the forecast for week 13. ii. Now obtain the exponential smoothing forecast for the weeks. A convenience store recently started to carry a new brand of soft drink. Management is interested in estimating future sales volume to determine whether it should continue to carry the new brand or replace it with another brand. The following table provides the number of cans sold per week. Use both the trend projection with regression and the exponential smoothing (let a =...