Suppose that a linear probability model is to be fit to a set of observations on a
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Suppose that a linear probability model is to be fit to a set of observations on a dependent variable y that takes values zero and one, and a single regress or x that varies continuously across observations. Obtain the exact expressions for the least squares slope in the regression in terms of the mean(s) and variance of x, and interpret the result.
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the usual regression Using b x xy y2 x x For data in which y is a bina...View the full answer
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