U.S. Civilian Labor Force, 2007-2016 Year Labor Force 2007 178,978 2008 179,715 2009 178,171 2010 178,710 2011 179,055 2012 180,688 2013 180,211 2014 181,298 2015 183,017 2016 184,700 Make forecasts using the following fitted trend models for years 2017-2019. (Round your answers to the nearest whole number.) t Linear Quadratic Exponential 11 12 13
U.S. Civilian Labor Force, 2007-2016 Year Labor Force 2007 178,978 2008 179,715 2009 178,171 2010 178,710 2011 179,055 2012 180,688 2013 180,211 2014 181,298 2015 183,017 2016 184,700 Make forecasts using the following fitted trend models for years 2017-2019. (Round your answers to the nearest whole number.) t Linear Quadratic Exponential 11 12 13
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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U.S. Civilian Labor Force, 2007-2016 | ||||||||||
Year | Labor Force | |||||||||
2007 | 178,978 | |||||||||
2008 | 179,715 | |||||||||
2009 | 178,171 | |||||||||
2010 | 178,710 | |||||||||
2011 | 179,055 | |||||||||
2012 | 180,688 | |||||||||
2013 | 180,211 | |||||||||
2014 | 181,298 | |||||||||
2015 | 183,017 | |||||||||
2016 | 184,700 | |||||||||
|
||||||||||
Make forecasts using the following fitted trend models for years 2017-2019. (Round your answers to the nearest whole number.)
t | Linear | Quadratic | Exponential |
11 | |||
12 | |||
13 | |||
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