National Scan, Inc., sells radio frequency inventory tags. Monthly sales for a seven-month period were as follows: Sales (000)Units 14 Month Feb. Mar. 17 Apr May. Jun. 11 19 21 Jul. 22 Aug. 26 b. Forecast September sales volume using each of the following: (1) A linear trend equation.(Round your intermediete calculations end final answer to 2 decimal places.) Yt thousands (2) A five-month moving average. (Round your answer to 2 decimal places.) Moving average thousands (3) Exponential smoothing with a smoothing constant equal to 20, assuming a March forecast of 16(000). (Round your intermediate forecast values and final answer to 2 decimal places) Forecast |thousands (4) The naive approach. Naive approach thousands (5) A weighted average using .50 for August, .20 for July, and 30 for June. (Round your answer to 2 decimal places.) Weighted average thousands

National Scan, Inc., sells radio frequency inventory tags. Monthly sales for a seven-month period were as follows: Sales (000)Units 14 Month Feb. Mar. 17 Apr May. Jun. 11 19 21 Jul. 22 Aug. 26 b. Forecast September sales volume using each of the following: (1) A linear trend equation.(Round your intermediete calculations end final answer to 2 decimal places.) Yt thousands (2) A five-month moving average. (Round your answer to 2 decimal places.) Moving average thousands (3) Exponential smoothing with a smoothing constant equal to 20, assuming a March forecast of 16(000). (Round your intermediate forecast values and final answer to 2 decimal places) Forecast |thousands (4) The naive approach. Naive approach thousands (5) A weighted average using .50 for August, .20 for July, and 30 for June. (Round your answer to 2 decimal places.) Weighted average thousands

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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Question

National Scan, Inc., sells radio frequency inventory tags. Monthly sales for a seven-month period were as follows:
Sales
(000)Units
14
Month
Feb.
Mar.
17
Apr
May.
Jun.
11
19
21
Jul.
22
Aug.
26
b. Forecast September sales volume using each of the following:
(1) A linear trend equation.(Round your intermediete calculations end final answer to 2 decimal places.)
Yt
thousands
(2) A five-month moving average. (Round your answer to 2 decimal places.)
Moving average
thousands
(3) Exponential smoothing with a smoothing constant equal to 20, assuming a March forecast of 16(000). (Round your intermediate
forecast values and final answer to 2 decimal places)
Forecast
|thousands
(4) The naive approach.
Naive approach
thousands
(5) A weighted average using .50 for August, .20 for July, and 30 for June. (Round your answer to 2 decimal places.)
Weighted average
thousands

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