Q1:Use regression to analyze the data below. GDP Growth is your dependent variable and Jobles Claims is your indepdendent variable. YearGDP Growth (%)Jobs_Created 20192.33%88000 20183.18%-160000 20172.22%-213000 20161.57%-147000 20152.88%-215000 20142.45%-385000 20131.84%-320000 20122.25%-439000 20111.55%-522000 20102.56%-899000 2009-2.54%308000 2008-0.14%1919000 20071.88%305000 20062.86%-205000 20053.51%-111000 20043.80%-487000 20032.86%-204000 20021.74%-12000 20011.00%1096000 20004.13%276000 19994.75%-164000 19984.48%-25000 19974.45%-206000 19963.77%-61000 19952.68%59000 19944.03%-221000 19932.75%-80000 19923.52%-540000 1991-0.11%402000 19901.89%636000 19893.67%210000 19884.18%-48000 19873.46%-425000 19863.46%-43000 19854.17%72000 19847.24%-108000 19834.58%-1737000 1982-1.80%745000 19812.54%500000 1980-0.26%411000 19793.17%436000 19785.54%-172000 19774.62%-361000 19765.39%-250000 1975-0.21%-324000 1974-0.54%1591000 19735.65%142000 19725.26%-374000 19713.29%-110000 1970-0.25%843000 19693.10%188000 19684.80%-51000

Note that I used R software for my calculations.

Answered: Use regression to analyze the data…

1st Edition

ISBN:9781938168383

Author:Jay Abramson

Publisher:Jay Abramson

Chapter6: Exponential And Logarithmic Functions

Section6.8: Fitting Exponential Models To Data

Problem 3SE: What is regression analysis? Describe the process of performing regression analysis on a graphing...

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Q1:	Use regression to analyze the data below. GDP Growth is your dependent variable and Jobles Claims is your indepdendent variable.

	Year	GDP Growth (%)	Jobs_Created
	2019	2.33%	88000
	2018	3.18%	-160000
	2017	2.22%	-213000
	2016	1.57%	-147000
	2015	2.88%	-215000
	2014	2.45%	-385000
	2013	1.84%	-320000
	2012	2.25%	-439000
	2011	1.55%	-522000
	2010	2.56%	-899000
	2009	-2.54%	308000
	2008	-0.14%	1919000
	2007	1.88%	305000
	2006	2.86%	-205000
	2005	3.51%	-111000
	2004	3.80%	-487000
	2003	2.86%	-204000
	2002	1.74%	-12000
	2001	1.00%	1096000
	2000	4.13%	276000
	1999	4.75%	-164000
	1998	4.48%	-25000
	1997	4.45%	-206000
	1996	3.77%	-61000
	1995	2.68%	59000
	1994	4.03%	-221000
	1993	2.75%	-80000
	1992	3.52%	-540000
	1991	-0.11%	402000
	1990	1.89%	636000
	1989	3.67%	210000
	1988	4.18%	-48000
	1987	3.46%	-425000
	1986	3.46%	-43000
	1985	4.17%	72000
	1984	7.24%	-108000
	1983	4.58%	-1737000
	1982	-1.80%	745000
	1981	2.54%	500000
	1980	-0.26%	411000
	1979	3.17%	436000
	1978	5.54%	-172000
	1977	4.62%	-361000
	1976	5.39%	-250000
	1975	-0.21%	-324000
	1974	-0.54%	1591000
	1973	5.65%	142000
	1972	5.26%	-374000
	1971	3.29%	-110000
	1970	-0.25%	843000
	1969	3.10%	188000
	1968	4.80%	-51000