Suppose a logistic regression model is fitted for the probability of car ownership for residents of a certain city in Oman (Ylit 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 eBland B2 b) if BO= -1.6, B1=0.4 and B23. estimate the probability of a resident in the city owning a car. 7 B Tii = = E LE Suppose a logistic regression model is fitted for the probability of car ownership for residents of a certain city in Oman (Ylit 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 eBland B2 b) if BO= -1.6, B1=0.4 and B23. estimate the probability of a resident in the city owning a car. 7 B Tii = = E LE