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a.   Using a weighted moving average with weights of 0.60, 0.30, and 0.10, find the July forecast. b.   Using a simple 3-month moving average, find the July forecast. c.   Using single exponential smoothing with α = 0.2 and a June forecast ≈ 13, find the July forecast. Make whatever assumptions you wish. d.   Using simple linear regression analysis, calculate the regression equation for the demand data. e.   Using the regression equation in d, calculate the forecast for July.

a.   Using a weighted moving average with weights of 0.60, 0.30, and 0.10, find the July forecast. b.   Using a simple 3-month moving average, find the July forecast. c.   Using single exponential smoothing with α = 0.2 and a June forecast ≈ 13, find the July forecast. Make whatever assumptions you wish. d.   Using simple linear regression analysis, calculate the regression equation for the demand data. e.   Using the regression equation in d, calculate the forecast for July.

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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a.   Using a weighted moving average with weights of 0.60, 0.30, and 0.10, find the July forecast.

b.   Using a simple 3-month moving average, find the July forecast.

c.   Using single exponential smoothing with α = 0.2 and a June forecast ≈ 13, find the July forecast. Make whatever assumptions you wish.

d.   Using simple linear regression analysis, calculate the regression equation for the demand data.

e.   Using the regression equation in d, calculate the forecast for July.

2. Historical demand for a product is January February March April May June Demand 12 11 15 12 16 15
Transcribed Image Text:2. Historical demand for a product is January February March April May June Demand 12 11 15 12 16 15
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