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The monthly demand of a company is showed below, please use the static method to forecast the demand for Year 6. Sales Year 1 Year 2 Year 3 Year 4 Year 5 JAN 2,000 3,000 2,000 5,000 5,000 FEB 3,000 4,000 5,000 4,000 2,000 MAR 3,000 3,000 5,000 4,000 3,000 APR 3,000 5,000 3,000 2,000 2,000 MAY 4,000 5,000 4,000 5,000 7,000 JUN 6,000 8,000 6,000 7,000 6,000 JUL 7,000 3,000 7,000 10,000 8,000 AUG 6,000 8,000 10,000 14,000 10,000 SEP 10,000 12,000 15,000 16,000 20,000 OCT 12,000 12,000 15,000 16,000 20,000 NOV 14,000 16,000 18,000 20,000 22,000 DEC 8,000 10,000 8,000 12,000 8,000 Total 78,000 89,000 98,000 115,000 113,000

The monthly demand of a company is showed below, please use the static method to forecast the demand for Year 6. Sales Year 1 Year 2 Year 3 Year 4 Year 5 JAN 2,000 3,000 2,000 5,000 5,000 FEB 3,000 4,000 5,000 4,000 2,000 MAR 3,000 3,000 5,000 4,000 3,000 APR 3,000 5,000 3,000 2,000 2,000 MAY 4,000 5,000 4,000 5,000 7,000 JUN 6,000 8,000 6,000 7,000 6,000 JUL 7,000 3,000 7,000 10,000 8,000 AUG 6,000 8,000 10,000 14,000 10,000 SEP 10,000 12,000 15,000 16,000 20,000 OCT 12,000 12,000 15,000 16,000 20,000 NOV 14,000 16,000 18,000 20,000 22,000 DEC 8,000 10,000 8,000 12,000 8,000 Total 78,000 89,000 98,000 115,000 113,000

ENGR.ECONOMIC ANALYSIS
ENGR.ECONOMIC ANALYSIS
14th Edition
ISBN:9780190931919
Author:NEWNAN
Publisher:NEWNAN
Chapter1: Making Economics Decisions
Section: Chapter Questions
Problem 1QTC
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The monthly demand of a company is showed below, please use the static method to forecast the

demand for Year 6.

Sales Year 1 Year 2 Year 3 Year 4 Year 5

JAN 2,000 3,000 2,000 5,000 5,000

FEB 3,000 4,000 5,000 4,000 2,000

MAR 3,000 3,000 5,000 4,000 3,000

APR 3,000 5,000 3,000 2,000 2,000

MAY 4,000 5,000 4,000 5,000 7,000

JUN 6,000 8,000 6,000 7,000 6,000

JUL 7,000 3,000 7,000 10,000 8,000

AUG 6,000 8,000 10,000 14,000 10,000

SEP 10,000 12,000 15,000 16,000 20,000

OCT 12,000 12,000 15,000 16,000 20,000

NOV 14,000 16,000 18,000 20,000 22,000

DEC 8,000 10,000 8,000 12,000 8,000

Total 78,000 89,000 98,000 115,000 113,000

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