25. What is this year's forecast using exponential smoothing with alpha = 0.4, if year 2007's smoothed forecast was 2,600? A. 2,680 B. 2,808 C. 2,760 D. 3,128 E. 3,160
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- Month Demand Forecast 1 40 2 50 3 42 4 55 5 41 50 6 42 7 Sum Mean Error Abs Error Bias MAD When using exponential smoothing forecast (ESF) with an alpha of .3: 1. What is the forecast for month 6? 2. What is the forecast error for month 6?Month Demand Forecast Error Abs Error 1 43 2 52 3 44 4 57 5 43 6 48 7 Sum Mean Bias MAD When using a 4 period moving average forecast (MAF): 1. What is the forecast for month 6? 2. What is the forecast error for month 6?14.5. For the data in Exercise 14.4, use an a of 0.1 to make a forecast for July F Ft-1 + 0.1(At-1-Ft-1) Months January 15 February 18 March 22 23 27 26 April May June Demand Smoothing unit (At) (St) July 15 15.3 15.97 16.67 17.7 18.53 Forecast for July= 18.53 Forecast (Ft) 15 15.3 15.97 16.67 17.7 18.53
- Given November actual demand of 61, November forecast of 58, and an alpha of 0.4, November trend value +1.03, Beta of 0.3 what would the forecast including trend (FIT) for the December period be using exponential smoothing model 2? Select one: a. 62.03 b. cannot be found c. 68.76 d. 65.726. Consider the following data table. (12 Points) a) Forecast demand using exponential smoothing with an apha of 0.25, and an initial forecast of 128.0 for period 1. b) Calculate the MAD and MSE. Period Real demand 130 138 129 140 3 4 5 133Question 1 ) The monthiy sales Of yamizí Battery company are asfollows:- Month Jales 2000 2100 1500 1400 1300 Calcuiate fore cost sales for June using each of the fo llowing method: - i) Naive Method 1M 3 Month Simple moving averoger Ti) Exponentral smoothing using an a =0:3 cand may forecast of 1600 units.
- Q1) Forecasting is both art and science. Describe the situations where we use Qualitative forecasting techniques and quantitative forecasting techniques1:46 口 Forecasting Assignment 1. The department manager using a combination of methods has forecast sales of toasters at a local department store. Calculate the MAD for the manager's forecast. Compare the manager's forecast against a naive forecast. Which is better? Manager's Forecast Month Unit Sales January February 52 61 March 73 April Мay 79 66 June 51 July August September 47 50 44 55 30 52 October 55 42 November 74 60 December 125 75 2. The last four weekly values of sales were 80, 100, 105, and 90 units. The last four forecasts (for the same four weeks) were 60, 80, 95, and 75 units. Calculate MAD, MSE, and MAPE for these four weeks. Sales Forecast Error Error squared Pct. error 80 60 20 400 .25 100 80 20 400 .20 105 95 10 100 .095 90 75 15 225 .167 AA A online.saskpolytech.caDetermine the Forecast Error for the data below using the Mean Absolute Deviation (MAD) formula. Month Demand Forecast 16 205 210 17 197 175 18 230 210 19 240 228 20 252 220 Question 11 options: a) 15.8 b) 15.7 c) 19.1 d) 16.7
- q 1 An analyst must decide between two different forecasting techniques for weekly sales of roller blades. Based on the following data, answer the below questions. time Units sold 1 147 2 148 3 151 4 145 5 155 6 152 7 155 8 157 9 160 10 165 What's the MAD if the exponential smoothing technique with alpha 0.4 is used?*** Can you please demonstrate how to do parts d, e, f? Given: Year Demand 1 7 2 9 3 5 4 9 5 Predict the value for Year 5: 2 year moving average What is MSE for 2 year moving average? 2 year moving average using 0.6 (weight for the oldest period) and 0.4(weight for most recent period Exponential smoothing, =0.2 and forecast for Year 1 = 5 Linear trend Which forecast method has the least amount of error using MAD? What is the coefficient?Problem 4- do both a three period moving average and an exponential smoothing forecast with an alpha of .2. Calculate the MAD and MPE for each. Months Actuals 1 400 2. 350 3 325 4. 300 300 6. 285 7. 290