Loose Leaf for Statistical Techniques in Business and Economics
Loose Leaf for Statistical Techniques in Business and Economics
17th Edition
ISBN: 9781260152647
Author: Douglas A. Lind
Publisher: McGraw-Hill Education
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Chapter 18, Problem 3P
To determine

Determine the seasonally adjusted sales forecasts for January 2016 and June 2016.

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The equation for yearly sales (in 000 dollars) for a commodity with year 2011 as originy = %3D 91.6 +28.8X. Determine the trend equation to give monthly trend values with Jan. 2012 as origin and calculate the trend for March, 2012.
The equation for yearly sales (in '000) for a commodity with year 2000 as origin is Y = 91.6 +28.8.X. Determine the trend equation to given monthly trend values with January, 2001 as origin and calculate the trend for March, 2001.
An industry analyst fits a linear trend model to 2 years of monthly observations measuring the volume of retail sales (in millions of dollars) of passenger cars in the United States. The trend variable equals 1 in January 2017. Below is the equation and some supplementary info  Y hat = 20.020 + 0.2093 t Se = 1.061          R2 = .6703                 DW = 1.533   Estimate the number of passenger cars that will be sold in January of 2019.
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