QUESTION 1 Suppose you estimate the following results: hourly_wage=5.5+ 0.50edu + 0.10exper+ 0.10(edu*exper) Standard error for betaOhat is 0.50. Standard error for beta1hat is 0.10. Standard error for beta2hat is 0.005. Standard error for beta3hat is 0.03. How would you test whether there is any relationship between years of education and wages? O None of the above HO: beta1-beta2-beta3=0 vs. H1: One or more is nonzero OHO: beta1+beta3*exper=0 vs. H1: beta1+beta3*exper!=0 HO: beta1 beta3=0 vs. H1: beta1!=0 and/or beta3!=0 HO: beta1=0 vs. H1: beta1!=0 HO: beta3=0 vs. H1: beta3!=0 HO: beta1 beta3 vs. H1: beta1!=beta3

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QUESTION 1
Suppose you estimate the following results:
hourly_wage=5.5+ 0.50edu + 0.10exper+ 0.10(edu*exper)
Standard error for betaOhat is 0.50.
Standard error for beta1hat is 0.10.
Standard error for beta2hat is 0.005.
Standard error for beta3hat is 0.03.
How would you test whether there is any relationship between years of education and wages?
None of the above
HO: beta1-beta2-beta3-0 vs. H1: One or more is nonzero
HO: beta1+beta3*exper=0 vs. H1: beta1+beta3*exper!=0
HO: beta1 beta3=0 vs. H1: beta1!=0 and/or beta3!=0
HO: beta1=0 vs. H1: beta1!=0
HO: beta3=0 vs. H1: beta3!=0
HO: beta1 beta3 vs. H1: beta1!=beta3
Transcribed Image Text:QUESTION 1 Suppose you estimate the following results: hourly_wage=5.5+ 0.50edu + 0.10exper+ 0.10(edu*exper) Standard error for betaOhat is 0.50. Standard error for beta1hat is 0.10. Standard error for beta2hat is 0.005. Standard error for beta3hat is 0.03. How would you test whether there is any relationship between years of education and wages? None of the above HO: beta1-beta2-beta3-0 vs. H1: One or more is nonzero HO: beta1+beta3*exper=0 vs. H1: beta1+beta3*exper!=0 HO: beta1 beta3=0 vs. H1: beta1!=0 and/or beta3!=0 HO: beta1=0 vs. H1: beta1!=0 HO: beta3=0 vs. H1: beta3!=0 HO: beta1 beta3 vs. H1: beta1!=beta3
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