E(Y | X₁, ..., X_k)= Pr(Y = 1 | X₁,..., X_k)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.

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Quizplus · Accepted Answer

The notation E(Y | X) represents the expected value of Y given X, and when Y is a binary variable (taking values 0 or 1), this expected value can be interpreted as the probability that Y=1 given X. This is a fundamental concept in logistic regression and other models used for binary outcome prediction.

E(Y | X1

E(Y | X₁