Use the border crossings data below and a = = 0.3 and ẞ = 0.2. Truck Crossings Month February 113,691 March 139,204 April 121,498 May 127,511 June 131,500 July 105,245 August 126,606 Copy Data Step 2 of 2: Calculate the adjusted exponential smoothing forecast for September 2011. Assume the forecast component for February 2011 to be the actual truck crossing value minus the initial trend. Let the initial trend be 10,000 trucks. Round your answer to two decimal places.
Use the border crossings data below and a = = 0.3 and ẞ = 0.2. Truck Crossings Month February 113,691 March 139,204 April 121,498 May 127,511 June 131,500 July 105,245 August 126,606 Copy Data Step 2 of 2: Calculate the adjusted exponential smoothing forecast for September 2011. Assume the forecast component for February 2011 to be the actual truck crossing value minus the initial trend. Let the initial trend be 10,000 trucks. Round your answer to two decimal places.
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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Transcribed Image Text:Use the border crossings data below and a = = 0.3 and ẞ = 0.2.
Truck Crossings
Month
February
113,691
March
139,204
April
121,498
May
127,511
June
131,500
July
105,245
August
126,606
Copy Data
Step 2 of 2: Calculate the adjusted exponential smoothing forecast for September 2011. Assume the forecast component
for February 2011 to be the actual truck crossing value minus the initial trend. Let the initial trend be 10,000 trucks. Round
your answer to two decimal places.
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