8. Suppose you intend to estimate the impact of number of kids in a household onmother's labor supply (work hours). You estimateHours a+ pN_boys+ P,N_girls+ Edu+ Age+u,using a sample of married womenN_boys is the number of boys and N_girls is the number of girls in the household.Which of the following is correct?a) This model suffers from perfect collinearityb) The OLS estimator cannot be computed in this situation2c) When adding the total number of kids as an additional regressor, we would expectthat R2 to go upd) When adding the total number of kids as an additional regressor, we would expectthat OLS does not work.

When you add another independent variable in the equation R2 will always increase. So here we are…

Answered: 8. Suppose you intend to estimate the…

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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For the horseshoe crab data with width, colors, and spine as predictors, suppose you start a backward elimination process with the most complex model possible Denoted by C ∗ S ∗ W, it uses main effects for each term as well as the three two-factor interactions and the three-factor interaction Conduct a likelihood-ratio test comparing this model to the simpler model that removes the three-factor interaction term but has all the two-factor interactions. Does this suggest that the three-factor term can be removed from the model? At the next stage, if we were to drop one term, explain why we would select model C ∗ S + C ∗ W
A group of medical professionals is considering theconstruction of a private clinic. If the medical de-mand is high (i.e., there is a favorable market for theclinic), the physicians could realize a net profit of$100,000. If the market is not favorable, they couldlose $40,000. Of course, they don’t have to proceedat all, in which case there is no cost. In the absenceof any market data, the best the physicians can guessis that there is a 50–50 chance the clinic will be suc-cessful. Construct a decision tree to help analyze thisproblem. What should the medical professionals do?
What is the significance of R and R2 in gression model?
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The 2019-2020 flu season was especially tough. By the end of the season, an estimated total of 49 million people in the United States had contracted the flu, of whom an estimated 79,000 died from the flu. Assume that the US population was 300,000,000 during the 2019-2020 flu season and that during the season, a total of 2.9 million Americans died from all causes (including the flu). Assume the population of the US remained the same at the midpoint of the season. Report mortality rates per 100,000. Be sure to express the measure in the correct format. a.What was the proportionate mortality rate from flu during the 2019-2020 flu season? b.What was the case fatality rate from flue during the 2019-2020 flu season?
The 2019-2020 flu season was especially tough.By the end of the season, an estimated total of 49 million people in the United States had contracted the flu, of whom an estimated 79,000 died from the flu. Assume that the US population was 300,000,000 during the 2019-2020 flu season and that during the season, a total of 2.9 million Americans died from all causes (including the flu). Assume the population of the US remained the same at the midpoint of the season. Report mortality rates per 100,000. Be sure to express the measure in the correct format. c.What was the flu-related mortality rate during the 2019-2020 flu season? d.What is the all-cause mortality rate during the 2019-2020 flu season? e.In a country with an age distribution that is much younger than in the US, the proportionate mortality rate from flu in 2019 was 5%. Based on this information alone, can we determine that the risk of dying from flu in 2019 was higher in this country compared to the US? Why or why not?
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luyckx et al. 2012 discovered that resistances to the bacterial parasite Pasteuria ramosa is genetically variable in the common freshwater crustacean Daphnia magna. to investigate the genetic basis of this cariation, they crossed a completely resistant lineage to a completely susceptible lineage. All the F1 offspring were resistant. these offspring, when mature, were then crossed to each other to produce an F2 generation. if resistance is the result of only a single gene with 2 forms (alleles), then resistant and suspectible F2 offspring should occur in a 3:1 ratio. of 71 F2's tested,57 were resistant and 14 were susceptible. Answer these Q's: a) calculate the range of most-plausible values for the proportion of resistant offspring. Does the plausible range include the proportion predicted if resistence is determined by a single gene? b.) give two other values for the proportion that are also consistent with the data. c.) test the genetic hypothesis. Are the results compatible with…
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It is about the differantial equations...

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