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b) Use exponential smoothing with a smoothing constant of 0.30 to forecast the sales. Assume that last period’s forecast for month 1 is equal to actual to begin the procedure. Which method do you think is best? Is this an improvement over the weighted average- use MAD only. c) Use regression analysis to estimate the line of best fit -use the manual method with the formulas shown below (pictured).

b) Use exponential smoothing with a smoothing constant of 0.30 to forecast the sales. Assume that last period’s forecast for month 1 is equal to actual to begin the procedure. Which method do you think is best? Is this an improvement over the weighted average- use MAD only. c) Use regression analysis to estimate the line of best fit -use the manual method with the formulas shown below (pictured).

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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b) Use exponential smoothing with a smoothing constant of 0.30 to forecast the sales. Assume that last period’s forecast for month 1 is equal to actual to begin the procedure. Which method do you think is best? Is this an improvement over the weighted average- use MAD only. 
c) Use regression analysis to estimate the line of best fit -use the manual method with the formulas shown below (pictured).

y= a +bx where: nE xy – ExEy b = nE x² – (Ex)² a = ý – bx
Transcribed Image Text:y= a +bx where: nE xy – ExEy b = nE x² – (Ex)² a = ý – bx
Month Demand 1 145.5 2 160 3 71 4 99 5 194.5 6 206 7 135.5 8 152.5 9. 246 10 259 11 181.5 12 194
Transcribed Image Text:Month Demand 1 145.5 2 160 3 71 4 99 5 194.5 6 206 7 135.5 8 152.5 9. 246 10 259 11 181.5 12 194
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