Consider the following regression model: Dependent Variable: MUSample: 134VariablebBETAt-StatisticP-valueConstant7.292206 6.6663480.0000COLLEGE-0.115133-0.23-4.4376970.0000GROWTH0.0188980.011.7188100.0880SENIORS-0.022380-0.24-0.7310170.4661WAGE-0.0000294-0.001-0.8748360.3833R-squared0.192456 Mean dependent var3.852239Adjusted R-squared0.167416 S.D. dependent var1.928368 Where MU = metropolitan area unemployment rate, COLLEGE = percentage of the metropolitan area population with a college degree, GROWTH = growth rate of the metropolitan area population, SENIORS = percentage of the metropolitan area population that is elderly, and WAGE = average metropolitan area wageWhich two variables have the least impact on MU?

Solution The given analysis is the regression analysis.

Answered: Consider the following regression…

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Consider the following regression model: Dependent Variable: MU Sample: 134

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.6: Regression And Median-fit Lines

Problem 5PPS

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Dependent Variable: MU
Sample: 134
Variable	b	BETA	t-Statistic	P-value
Constant	7.292206		6.666348	0.0000
COLLEGE	-0.115133	-0.23	-4.437697	0.0000
GROWTH	0.018898	0.01	1.718810	0.0880
SENIORS	-0.022380	-0.24	-0.731017	0.4661
WAGE	-0.0000294	-0.001	-0.874836	0.3833
R-squared	0.192456	Mean dependent var	3.852239
Adjusted R-squared	0.167416	S.D. dependent var	1.928368