Question 17Suppose you are interested in knowing the monthly number of cookies eaten by children. You putchild age, weight, household income, and a bunch of parental controls on the RHS. You considerchildren from birth to age 14. Your model does great from a predictive stand point with smallresiduals, except for the 0-6 months old crowd which basically eats no cookies and has big residuals.They you likely violated theRandom Sample AssumptionHomoskedasticity AssumptionThe BLUE AssumptionThe Gauss-Markov CorollaryO None of the above are likely violated given the above story.Question 18In a multivariate regression model, a high degree of precision meansThe betas are drawn from sampling distributions with a low varianceOur estimates are unbiasedWe will get causal estimatesWe probably had lots of data to work with and/or data with a low underlying degree of dispersionTwo of the above options are true, while two are false

17) Some of the consequences are, The ordinary least square would not give an estimator with small…

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MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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