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 ell2

A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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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 theresident of the city (x2=1 for a male and x2=0 for a female resident)
a) Interpret eBl and el2
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 theresident of the city (x2=1 for a male and x2=0 for a female resident) a) Interpret eBl and el2 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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