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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Explain why blinding is a reasonable strategy in many experiments. O Blinding helps researchers study the control effect better, since knowing if you are in the control group can have a mental effect on results. O Blinding can help solve the doubling issue in research, where people feel they need to match those around them in response/measurement. O Blinding keeps people and researchers from deliberately skewing the effects of the experiment, or to highlight a placebo effect. O Blinding can help solve the singling issue in research, where people feel they need to be unique from those around them in response/measurement.
Are nursing salaries in Tampa, Florida, lower than those in Dallas, Texas? Salary data show staff nurses in Tampa earn less than staff nurses in Dallas (The Tampa Tribune, January 15, 2007). Suppose that in a follow-up study of 40 staff nurses in Tampa and 50 staff nurses in Dallas you obtain the following results. Tampa n1 = 40 X1 = $56,100 S1 = $6000 Dallas n2 = 50 X2 = $59,400 S2 = $7000 Complete the confidence interval of the data set
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Based on predictive modeling, this upcoming Winter is going to have very unpredictable weather. The National Weather service is considering abolishing specific long-term forecasts, and instead will utilize a statistical model that predicts a mean of six significant snowfalls per month. Use this information to answer the following question correctly: Trying to be forward-thinking, I'm going to try planning my one month long Winter Break based around this model's predictions. I will only travel for the holidays if there is at most one significant snowfall over winter break. What is the probability of this happening? O 0.0174 O 0.0149 O 0.0025 O 0.0542
A statistical program is recommended. A company provides maintenance service for water-filtration systems throughout southern Florida. Customers contact the company with requests for maintenance service on their water-filtration systems. To estimate the service time and the service cost, the company's managers want to predict the repair time necessary for each maintenance request. Hence, repair time in hours is the dependent variable. Repair time is believed to be related to three factors, the number of months since the last maintenance service, the type of repair problem (mechanical or electrical), and the repairperson who performed the service. Data for a sample of 10 service calls are reported in the table below. ŷ = Repair Time in Hours 2.9 3.0 ŷ = 4.8 1.8 2.4 4.9 4.7 4.8 4.4 4.5 Months Since Last Service 2 6 8 3 2 7 9 8 4 6 Type of Repair Electrical Mechanical Electrical Mechanical Electrical Electrical Mechanical Mechanical Electrical Electrical Repairperson Dave Newton Dave…
Your state is going to vote on becoming a "right to work" state in the next, and you wonder if there is there a relationship between salary levels and unionization. You find data on salary from the U.S. Census, which is split into three groups: Low; Moderate/About Average, and; High. To see if salary, measured in this way, is associated with unionization you find a variable in the same dataset called "UNION", which has two categories: the respondent has a unionized job and the respondent does not have a unionized job. Because you want to know if you should favor or oppose becoming a "right to work" state, you test these two variables to see if there is an association between salary level and unionized labor. What type of hypothesis test is most appropriate?
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A researcher conducts a cross-sectional analysis of workers and finds a positive correlation between the number of hours high schoolers spent practicing a musical instrument and their subsequent college performance. Explain how this relationship could be causal. The researcher advocates a policy of requiring all students to take band in order to improve future outcomes. What is a possible problem with this analysis?
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