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E(Y X1, ,Xk)= Pr(Y = 1 X1

question 9

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E(Y E(Y   X1,... ,Xk) = Pr(Y = 1   X1,... ,Xk) means that A) for a binary variable model,the predicted value from the population regression is the probability that Y=1,given X. B) dividing Y by the X's is the same as the probability of Y being the inverse of the sum of the X's. C) the exponential of Y is the same as the probability of Y happening. D) you are pretty certain that Y takes on a value of 1 given the X's. X1,... ,Xk) = Pr(Y = 1 E(Y   X1,... ,Xk) = Pr(Y = 1   X1,... ,Xk) means that A) for a binary variable model,the predicted value from the population regression is the probability that Y=1,given X. B) dividing Y by the X's is the same as the probability of Y being the inverse of the sum of the X's. C) the exponential of Y is the same as the probability of Y happening. D) you are pretty certain that Y takes on a value of 1 given the X's. X1,... ,Xk) means that


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