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Consider a binary response variable y and a predictor variable x that varies between 0 and 4 . The linear probability model is estimate as y^=1.05+0.57x a. Compute the estimated probability for x=2 and x=3. Note: Negative values should be indicated by a minus sign. Round your answers to 2 decimal places. Report the probability between O and 1 (not in % ). b. For what values of x is the estimated probability negative or greater than 1 ? Note: Round your answers to 2 decimal places..

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Consider a binary response variable y and a predictor variable x that varies between 0 and 4 . The linear probability model is estimate as y^=1.05+0.57x a. Compute the estimated probability for x=2 and x=3. Note: Negative values should be indicated by a minus sign. Round your answers to 2 decimal places. Report the probability between O and 1 (not in % ). b. For what values of x is the estimated probability negative or greater than 1 ? Note: Round your answers to 2 decimal places.

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  • 1. Consider a binary response variable y and a predictor variable x that varies between 0 and 4 . The linear probability model is estimate as y^=1.05+0.57x a. Compute the estimated probability for x=2 and x=3. Note: Negative values should be indicated by a minus sign. Round your answers to 2 decimal places. Report the probability between O and 1 (not in % ). b. For what values of x is the estimated probability negative or greater than 1 ? Note: Round your answers to 2 decimal places.