Question: Problem 1: Forecasting All analysis and calculations and report must be done in a single (ONE) Excel file. Put your name at the top of

Problem 1: Forecasting

  • All analysis and calculations and report must be done in a single (ONE) Excel file.
  • Put your name at the top of the worksheet.
  • Make Excel do all of the calculations. (Instructor must be able to see your cell-reference formulas.)
  • Include report/answers below the forecasting calculations.
    • Make sure answers are clear, complete and easy to find.
    • Your report must include:
  1. Presentation of forecasts
  2. Explanation of why you chose each of the methods

  1. Annual sales of product from XYZ corporation have been recorded as follows:

Year

Sales (000 units)

Year

Sales (000 units)

1

220

8

360

2

245

9

400

3

280

10

380

4

275

11

420

5

300

12

450

6

310

13

460

7

350

14

475

Management is interested in implementing a new forecasting system and investigating the following forecasting methods as possibilities:

Simple moving average, Weighted moving average, Simple Exponential Smoothing, Regression.

  • Choose two of these methods and calculate forecasts for Year 15
    • If you use Exponential Smoothing, begin with the assumption the Forecast for Year 12 was 435 (choose your own alpha)
  • Present your forecast results
  • Explain why each of your chosen methods is appropriate for the data and time frame given

Attached are the templates being used:Problem 1: Forecasting All analysis and

Moving Average Moving Average Note: 1) Enter values only in the highligres cells, 2) enter the numter of tourists values in the actual column C H M MAD - #DIVO! MSE #DIVO! Exponential Smoothing N U Exponential Smoothing Note: 1) enter values only in the lighighed cols. 2) enter any alpha" value, 3) enter the number of tourists values in the actual column 4) enter the forecast value for pened in the Torecast column MAD - MSE-1 0.00 0.00 Period Actual Forecast Error Error Erior Actual Forecast Error Error Error Period 1 1 2 3 4 - 5 . 6 7 8 9 10 11 12 #DIV/0! #DIVO! #DIV/0! #DIVO! #DIV/0! #DIVO! #! #DIV/0! #DIVO! #DIV/0! #DIVO! ! #DIV/0! #DIVO! #DIV/0! #DIVO! - #DIV/0! #DIVO: ! #DIV/0! #DIVO! #DIV/0! #DIVO! #DIV/0! #DIVO! #DIV/C! #DIV/0! #DIV/C! #DIV/0! #DIV/C! #DIV/0! #DIV/C! #DIV/0! #DIV/C! #DIV/0! #DIV/C! #DIV/0! ! #DIV/C! #DIV/0! #DIV/C! #DIV/0! #DIV/C: FDIV/! #DIV/C! #DIV/0! #DIV/C! FDIV/0! 2 3 3 0 4 1 5 26 7 4 8 9 6 10 7 11 B 12 13 14 0 [ 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 ro 0 0 0 0 0 0 0 0 0 13 14 Weightec Moving Average U H M 1. N R Note: 1) enter valesonly in the highlighed cells, 21 enter the number of tourists values in the "actual" column 3emer 'weights of your choice 0.00 0.06 Linear Equation A B D E F G H 1 K L . 1 Linear Equation Note: 1) enter values only in the highlighed cells, 2) enter the number of tourists values in the "actual column 2 3 Slope #DIV/0! MAD - #DIV/0! 4 Intercept #DIV/0! MSE #DIV/0! 0! 5 6 o Period Actual Forecast Error Error Error 7 1 #DIV/0! #DIV/0! #DIV/0! #DIV/0! 8 2 #DIV/0! #DIV/0! #DIV/0! #DIV/0! 9 3 #DIV/0! #DIV/0! #DIV/0! #DIV/0! 10 4 #DIV/0! #DIV/0! #DIV/0! #DIV/0! . . 11 5 #DIV/0! #DIV/0! #DIV/0! #DIV/0! 12 6 #DIV/0! #DIV/0! #DIV/0! #DIV/0! 13 7 7 #DIV/0! #DIV/0! #DIV/0! #DIV/0! word: wo. 14 8 #DIV/0! #DIV/0! #DIV/0! #DIV/0! 15 9 #DIV/0! #DIV/0! #DIV/0! #DIV/0! 16 10 #DIV/0! #DIV/0! #DIV/0! #DIV/0! 17 17 11 #DIV/0! #DIV/0! #DIV/0! #DIV/0! 18 12 #DIV/0! #DIV/0! #DIV/0! #DIV/0! 19 13 #DIV/0! #DIV/0! #DIV/0! #DIV/0! 20 14 #DIV/0! #DIV/0! #DIV/0! #DIV/0! Error 1 Weighted Mwing Average 2 3 Neghts - 0 MAD 4 0 MSE - 5 0 6 0 7 3 Period Actual Forecast 1 10 2 11 3 3 2 4 3 5 0 24 6 6 0 15 7 7 0 16 8 0 17 9 0 0 8 10 0 19 0 11 0 201 12 + U 21 13 0 22 14 0 23 Eros Eror 0 0 0 O 0 0 00) 0 0 0 O 0 0 0 ES 16 Moving Average Weighted Moving Average Expanential Smoothing Linear Equation

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