Question: One problem with using a linear probability model to predict a categorical dependent variable is that we may end up with predicted probabilities that are

One problem with using a linear probability model to predict a categorical dependent variable is that we may end up with predicted probabilities that are nonsensical, such as negative values or values greater than 100%. One problem with using a linear probability model to predict a categorical dependent variable is that we may end up with predicted probabilities that are nonsensical, such as negative values or values greater than 100%.

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