Which of the following statements is false concerning the linear probability model?
(A)There is nothing in the model to ensure that the estimated probabilities lie between zero and one (B)Even if the probabilities are truncated at zero and one, there will probably be many observations for which the probability is either exactly zero or exactly one (C)The error terms will be heteroscedastic and not normally distributed (D)The model is much harder to estimate than a standard regression model with a continuous dependent variable
D