Which Regression Model is More Realistic for Predicting Wages Based on IQ?

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SUMMARY

The discussion centers on evaluating two regression models for predicting wages based on IQ: Model 1 (wagehat = 116.9916 + 8.303*IQ) and Model 2 (logwagehat = 5.88 + 0.0088*IQ). Both models utilize the same dataset, but the realism of each model cannot be determined without additional statistical metrics, such as R-squared values. The participants emphasize the necessity of examining the underlying data to make a definitive judgment on which model is more realistic.

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wow007051
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there are two regreesion model Eviews output... which one is more realistic?

model 1:
wagehat = 116.9916 + 8.303*IQ
model 2:
logwagehat = 5.88 + 0.0088*IQ

both of them use same samples...

do i need to know futher statistic information to judge which one is more realistic? such as Rsquare or some thing?
 
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We have absolutely no way of knowing that without seeing the data.
 

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