Hi Just question 10 and 11 Thank you. Consider the following OLS regression output which is estimated with Wage2.dta (seetutorial folder on Blackboard)SourcedfMSNumber of obs935F(4, 930)36.82Model22.64673664 5.66168416Prob > F0.0000Residual143.0095479306ור1537-R-squaredAdj R-squared0.13670.1330Total165.656283934.177362188Root MSE.39214lwageCoef.Std. Err.[95% Conf. Interval)t.0068351.0535122.0078701educ.04009825.870.000.02668431Q.005914.00099675.930.000.0039579hours.0035899.0130370.280.7830.517-.0219954-.0003389.0291752.0001706hours2-.0000842.0001298-0.65cons5.649044.324036317.430.0005.0131176.284971where Iwage is the natural logarithm of monthly wage in USS, educ is years of education, IQis points on an IQ intelligence test, hours is average weekly hours worked, and hours2 isexperience squared (hours * hours). Assume that MLR 1-6 hold.10) At how many average weekly hours worked is the marginal effect of hours on predicted wageequal to zero?11) What is the exact effect (in percent) of an increase of 10 years of education on predicted wage?

Solution: The regression output is given.

Answered: Consider the following OLS regression…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

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