Multinomial Logistic Regression Examples. People s occupational choices might be influenced by their parents occupations and their own education level. Also hamilton s statistics with stata updated for version 7.
We can study the relationship of one s occupation choice with education level and father s occupation. Mlogit models are a straightforward extension of logistic models. For example the significance of a parameter estimate in the chocolate relative to strawberry model cannot be assumed to hold in the vanilla relative to strawberry model.
Some extensions like one vs rest can allow logistic regression to be used for multi class classification problems although they require that the classification problem first.
We can study the relationship of one s occupation choice with education level and father s occupation. By performing a multinomial logistic regression the studio can determine the strength of influence a person s age gender and dating status has upon the type of film they prefer. People s occupational choices might be influenced by their parents occupations and their own education level. Logistic regression by default is limited to two class classification problems.
