Historical demand for a product is: DEMAND January February March 14 11 15 April May 14 16 June 15 a. Using a weighted moving average with weights of 0.50 (June), 0.30 (May), and 0.20 (April), find the July forecast. (Round your answer to 1 decimal place.) July forecast b. Using a simple three-month moving average, find the July forecast. (Round your answer to 1 decimal place.) July forecast c. Using single exponential smoothing with a = 0.40 and a June forecast = 13, find the July forecast. (Round your answer to 1 decimal place.) July forecast
Historical demand for a product is: DEMAND January February March 14 11 15 April May 14 16 June 15 a. Using a weighted moving average with weights of 0.50 (June), 0.30 (May), and 0.20 (April), find the July forecast. (Round your answer to 1 decimal place.) July forecast b. Using a simple three-month moving average, find the July forecast. (Round your answer to 1 decimal place.) July forecast c. Using single exponential smoothing with a = 0.40 and a June forecast = 13, find the July forecast. (Round your answer to 1 decimal place.) July forecast
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
![Historical demand for a product is:
DEMAND
January
February
14
11
March
15
April
May
14
16
June
15
a. Using a weighted moving average with weights of 0.50 (June), O.30 (May), and 0.20 (April), find the July forecast. (Round your
answer to 1 decimal place.)
July forecast
b. Using a simple three-month moving average, find the July forecast. (Round your answer to 1 decimal place.)
July forecast
c. Using single exponential smoothing with a = 0.40 and a June forecast = 13, find the July forecast. (Round your answer to 1 decimal
place.)
July forecast
d. Using simple linear regression analysis, calculate the regression equation for the preceding demand data. (Do not round
intermediate calculations. Round your intercept value to 1 decimal place and slope value to 2 decimal places.)
Y =
t](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F9d5d8a72-340c-4168-94b9-ea94593bd2af%2Ffd823c70-9b8c-4865-9f6d-98b4d32f882f%2F5941oz_processed.png&w=3840&q=75)
Transcribed Image Text:Historical demand for a product is:
DEMAND
January
February
14
11
March
15
April
May
14
16
June
15
a. Using a weighted moving average with weights of 0.50 (June), O.30 (May), and 0.20 (April), find the July forecast. (Round your
answer to 1 decimal place.)
July forecast
b. Using a simple three-month moving average, find the July forecast. (Round your answer to 1 decimal place.)
July forecast
c. Using single exponential smoothing with a = 0.40 and a June forecast = 13, find the July forecast. (Round your answer to 1 decimal
place.)
July forecast
d. Using simple linear regression analysis, calculate the regression equation for the preceding demand data. (Do not round
intermediate calculations. Round your intercept value to 1 decimal place and slope value to 2 decimal places.)
Y =
t
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