Review the attachment that describes Multinomial Logistic Regression and understand the basic difference between it and binary logistic regression.. Next review the examples below.. Then, come up with your own example that would necessitate the use of a multinomial logistic regression.

Example 1. People's occupational choices might be influenced by their parents' occupations and their own education level. We can study the relationship ofone's occupation choice with education level and father's occupation.The occupational choices will be the outcome variable which consists of categories of occupations.

Example 2. A biologist may be interested in food choices that alligators make. Adult alligators might have difference preference than young ones. The outcome variable here will be the types of food, and the predictor variables might be the length of the alligators and other environmental variables.

Example 3. Entering high school students make program choices among general program, vocational program and academic program. Their choice might be modeled using their writing score and their social economic status.