Historical demand for a product is as follows: DEMANDApril60May55June75July60August80September75Using a simple four-month moving average, calculate a forecast for October.Note: Round your answer to 1 decimal place. Using single exponential smoothing with α = 0.2 and a September forecast = 65, calculate a forecast for October.Note: Round your answer to the nearest whole number. Using simple linear regression, calculate the trend line for the historical data. Say the X axis is April = 1, May = 2, and so on, while the Y axis is demand.Note: Round your intercept value to the nearest whole number and slope value to 2 decimal places. Calculate a forecast for October using your regression formula.Note: Round your answer to 2 decimal places.

Answered: Historical demand for a product is as…

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Historical demand for a product is as follows: DEMAND April 60 May 55 June 75 July 60 August 80 September 75

College Algebra

7th Edition

ISBN:9781305115545

Author:James Stewart, Lothar Redlin, Saleem Watson

Publisher:James Stewart, Lothar Redlin, Saleem Watson

Chapter1: Equations And Graphs

Section: Chapter Questions

Problem 10T: Olympic Pole Vault The graph in Figure 7 indicates that in recent years the winning Olympic men’s...

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Question

Historical demand for a product is as follows:

	DEMAND
April	60
May	55
June	75
July	60
August	80
September	75

Using a simple four-month moving average, calculate a forecast for October.

Note: Round your answer to 1 decimal place.
Using single exponential smoothing with α = 0.2 and a September forecast = 65, calculate a forecast for October.

Note: Round your answer to the nearest whole number.
Using simple linear regression, calculate the trend line for the historical data. Say the X axis is April = 1, May = 2, and so on, while the Y axis is demand.

Note: Round your intercept value to the nearest whole number and slope value to 2 decimal places.
Calculate a forecast for October using your regression formula.

Note: Round your answer to 2 decimal places.

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