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Question 4Forecasting Below is the sales data for Forever Young Boutique in 18 w

ID: 374942 • Letter: Q

Question

Question 4Forecasting Below is the sales data for Forever Young Boutique in 18 weeks. (You can find the Excel sheet containing this data on Blackboard.) Week Sales Week Sales 246 288 245 204 236 257 174 248 229 254 153 244 252 198 162 199 189 213 2 3 4 13 15 16 18 (a) Develop a forecast for week 19 by using three different forecasting techniques: i. Three-week simple moving average, ii. Weighted moving average with weights wl-0.5, w2-0.3, w3-0.2 111. Exponential smoothing technique with a smoothing constant of -03 (Hint: You may use Excel to calculate the problem.) (b) Which forecasting method you considered in Question (a) is the most accurate according to the Mean Absolute Deviation (MAD) criterion? Please justify your answer.

Explanation / Answer

Following formula may be taken note of which have been used to calculate forecasted value :

Simple Moving average :

Ft = ( St-1 + St-2 + St-3 ) / 3

Ft = Forecast for period t

St, St-1, St-2 = Actual sales for period t-1, t-2 and t-3 respectively

Weighted moving average :

Ft = 0.5xSt-1 + 0.3xst-2 + 0.2xSt-3

Ft = Forecast for period t

St, St-1, St-2 = Actual sales for period t-1, t-2 and t-3 respectively

Exponential smoothing technique :

Ft = alpha x St-1 + ( 1- alpha) x Ft-1 = 0.3xSt-1 + 0.7xFt-1   ( where , alpha = exponential smoothing constant = 0.3

Accordingly , please find calculated values of forecast under different methods in below table :

Week

Sales

Forecast ( simple moving average)

Absolute deviation

Forecast (weighted moving average)

Absolute deviation

Forecast ( exponential smoothing )

Absolute deviation

1

254

2

153

3

244

4

252

217.00

35.00

218.7

33.3

244

8

5

198

216.33

18.33

229.8

31.8

236.41

38.41

6

262

231.33

30.67

223.4

38.6

234.43

27.57

7

199

237.33

38.33

240.8

41.8

231.12

32.12

8

189

219.67

30.67

217.7

28.7

234.02

45.02

9

213

216.67

3.67

206.6

6.4

229.13

16.13

10

246

200.33

45.67

203

43

222.37

23.63

11

288

216.00

72.00

224.7

63.3

216.56

71.44

12

245

249.00

4.00

260.4

15.4

219.00

26.00

13

204

259.67

55.67

258.1

54.1

231.42

27.42

14

236

245.67

9.67

233.1

2.9

239.42

3.42

15

257

228.33

28.67

228.2

28.8

237.53

19.47

16

174

232.33

58.33

240.1

66.1

234.73

60.73

17

248

222.33

25.67

211.3

36.7

236.34

11.66

18

229

226.33

2.67

227.6

1.4

228.83

0.17

19

217.00

223.7

228.46

459.00

492.3

411.20

Thus :

FORECASTED VALUE FOR WEEK 19 UNDER SIMPLE MOVING AVERAGE

459

FORECASGTED VALUE FOR WEEK 19 UNDER WEIGHTED MOVING AVERAGE

492.3

FORECASTED VALUE FOR WEEK 19 UNDER EXPONENTAIL SMOOTHING METHOD

411.20

Mean absolute Deviation for any type of forecast = Sum of Values of Absolute deviation / 15 ( number of observations from 14 to 18)

Thus :

MAD FOR SIMPLE MOVING AVERAGE FORECAST = 459/15 =

30.6

MAD FOR WEIGHTED MOVING AVERAGE FORECAST

32.82

MAD FOR EXPONENTIAL SMOOTHING FORECAST

27.41

The forecast with least MAD is most preferable because it represents least deviation between forecasted and actual values and therefore more accuracy.

Accordingly , Exponential smoothing forecast which has the least value is the most accurate forecast

Week

Sales

Forecast ( simple moving average)

Absolute deviation

Forecast (weighted moving average)

Absolute deviation

Forecast ( exponential smoothing )

Absolute deviation

1

254

2

153

3

244

4

252

217.00

35.00

218.7

33.3

244

8

5

198

216.33

18.33

229.8

31.8

236.41

38.41

6

262

231.33

30.67

223.4

38.6

234.43

27.57

7

199

237.33

38.33

240.8

41.8

231.12

32.12

8

189

219.67

30.67

217.7

28.7

234.02

45.02

9

213

216.67

3.67

206.6

6.4

229.13

16.13

10

246

200.33

45.67

203

43

222.37

23.63

11

288

216.00

72.00

224.7

63.3

216.56

71.44

12

245

249.00

4.00

260.4

15.4

219.00

26.00

13

204

259.67

55.67

258.1

54.1

231.42

27.42

14

236

245.67

9.67

233.1

2.9

239.42

3.42

15

257

228.33

28.67

228.2

28.8

237.53

19.47

16

174

232.33

58.33

240.1

66.1

234.73

60.73

17

248

222.33

25.67

211.3

36.7

236.34

11.66

18

229

226.33

2.67

227.6

1.4

228.83

0.17

19

217.00

223.7

228.46

459.00

492.3

411.20

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