Consider a binary response variable y and a predictor variable x that varies between 0 and 4. The linear probability model is estimated as yˆy^ = −1.16 + 0.62x.
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The model is given as \( \hat{y} = -1.16 + 0.62x \), where \( \hat{y} \) is the predicted probability of the binary response variable \( y \) being 1, and \( x \) is the predictor variable that ranges from 0 to 4. Show more…
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Consider a binary response variable y and an explanatory variable x that varies between 0 and 4. The linear model is estimated as Å· = -1.11 + 0.54x. a. Compute the estimated probability for x = 2 and x = 3. (Negative values should be indicated by a minus sign. Round your answers to 2 decimal places.) b. For what values of x is the estimated probability negative or greater than one? (Round your answers to 2 decimal places.)
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