Given a covariate z, suppose that the log survival time y follows a linear model with a logistic error distribution, that is, y = ln(x) = μ + βζ + σ w where the pdf of w is given by eu f(w) = (1 + ewy, (a) for an individual with covariate z, find the conditional survival function of the survival time x, given z, namely, s(x |z). (b) the odds that an individual will die prior to time x is expressed by 1- sa lz)l/s(a |z). compute the odds of death prior to time x for this model. (c) consider two individuals with different covariate values. show that, for any time x, the ratio of their odds of death is independent of x. the log logistic regression model is the only model with this property

mr. flanders’ class sold 47 doughnuts and   mr. rodriquez’s class sold 38 cartons of milk

step-by-step explanation:

let x be the number of doughnuts sold by mr. flanders’ class and y be the number of cartons sold by mr. rodriquez’s class.

1. together, the classes sold 85 items, then

x+y=85.

2. both classes earn earned $104.49 for their school. if doughnuts were sold for $1.35 each, then x doughnuts costed $1.35x. if cartons of milk were sold for $1.08 each, then y cartons costed $1.08y. hence,

1.35x+1.08y=104.49.

3. solve the system of two equations:

susie has 7 apples

answer: the angel abc is 30°,and the abc is a triangle where the angel bac is 90°

so ac is the half of 24=12ft,and from the pythagorean theorem we find ba

ba=√bc^2-ac^2=√576-144=√432=12√3ft

so bac is 12+12√3=12(1+√3)ft

hm let me think hm think think hm think yes