Suppose a logistic regression model is fitted for the probability of car ownership for residents of a certain city in Oman (Y=1 if aresident owns a car, Y=0 ifa resident does not own a car). Suppose the explanatory variables used are x1=no. of years a resident spent in schooling and x2 is gender of the resident of the city (x2=1 for a male and x2 0 for a female resident) a) Interpret el and e2 b) if BO= -1.6, B1-0.4 and B2 3, estimate the probability of a resident in the ituownin

Big Ideas Math A Bridge To Success Algebra 1: Student Edition 2015
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ISBN:9781680331141
Author:HOUGHTON MIFFLIN HARCOURT
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Chapter9: Solving Quadratic Functions
Section: Chapter Questions
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Suppose a logistic regression model is fitted for the probability of car ownership for residents
of a certain city in Oman (Y=1 if a resident owns a car, Y=0 if a resident does not own a car).
Suppose the explanatory variables used are x1=no. of years a resident spent in schooling and
x2 is gender of the resident of the city (x2=1 for a male and x2=0 for a female resident)
a) Interpret el and e82
b) if BO= -1.6, B1=0.4 and B2=3, estimate the probability of a resident in the city owning a car.
Transcribed Image Text:Suppose a logistic regression model is fitted for the probability of car ownership for residents of a certain city in Oman (Y=1 if a resident owns a car, Y=0 if a resident does not own a car). Suppose the explanatory variables used are x1=no. of years a resident spent in schooling and x2 is gender of the resident of the city (x2=1 for a male and x2=0 for a female resident) a) Interpret el and e82 b) if BO= -1.6, B1=0.4 and B2=3, estimate the probability of a resident in the city owning a car.
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