The following relationships between wage (W) and education (EDU) are estimated using a sample of 100 individuals. Excel results are reported below Model 1: W=4.3-0.07 EDU+0.9 EDU²; se (4.9) (0.07) (0.03) SSR=0.74; SSE-22.7; SST-23.44; Model 2: W-894-21.96 EDU+0.6 EDU2-75.0 What2+6.5 What³; se (885) (25.54) (0.06) (85.0) (3.2) SSR=0.82; SSE=21.68; SST=22.50; where W is wage and What is the fitted value of W. 1. In Model 1 test the hypothesis that education has no effect on wage 2. Test the adequacy of model W=B1+B2 EDU+B3 EDU²

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 23PFA
Question
The following relationships between wage (W) and education (EDU) are estimated using a sample of 100 individuals.
Excel results are reported below
Model 1: W=4.3-0.07 EDU+0.9 EDU2;
se (4.9) (0.07) (0.03)
SSR=0.74; SSE=22.7; SST=D23.44;
Model 2: W=894-21.96 EDU+0.6 EDU2-75.0 What2+6.5 What ;
se (885) (25.54) (0.06)
(85.0)
(3.2)
SSR=0.82; SSE=21.68; SST=22.50;
where W is wage and What is the fitted value of W.
1. In Model 1 test the hypothesis that education has no effect on wage
2. Test the adequacy of model W=B1+B2 EDU+B3 EDU2
Transcribed Image Text:The following relationships between wage (W) and education (EDU) are estimated using a sample of 100 individuals. Excel results are reported below Model 1: W=4.3-0.07 EDU+0.9 EDU2; se (4.9) (0.07) (0.03) SSR=0.74; SSE=22.7; SST=D23.44; Model 2: W=894-21.96 EDU+0.6 EDU2-75.0 What2+6.5 What ; se (885) (25.54) (0.06) (85.0) (3.2) SSR=0.82; SSE=21.68; SST=22.50; where W is wage and What is the fitted value of W. 1. In Model 1 test the hypothesis that education has no effect on wage 2. Test the adequacy of model W=B1+B2 EDU+B3 EDU2
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