There are some interesting, and unlikely predictions in some of the models. For example, Kasich2 & Kasich3 (the second and third models) both predict that Kasich will get 50% in New Jersey--a highly unlikely eventuality. Similarly, both models predict negative teens in North Dakota. Clearly, he cannot get negative votes, however, those models are very pessimistic at his success there. Both models provide fairly similar predictions, despite the fact that there is only one common variable between the two models--the percent of women in wholesale drug and chemical business in those states.
One of the unique features of the Kasich models, compared to both the Clinton-Sanders & the Trump-Cruz models, are that in the best Kasich models, I repeatedly found high ranking variables that described women in the workplace. For the previous models, the dominant jobs variables always described men in the workplace. The only male variable in the Kasich models is the broadest of the jobs measures I used, the change in the number of men's jobs from 2000-2013. The women's variables were specific to the last few years, and not a change in the jobs over time. For men, a decrease in the number of jobs, as shown in Kasich1, indicates that Kasich will do better in that state. In Kasich 2 & 3, more women in specific jobs compared to men, like wholesale drugs and chemicals, tends to signal better performance for Kasich.
There were several demographic variables in the high ranking models. The most common were those that designated a change in population and the percent of White Evangelicals. For population change, the second two models indicate that Kasich does better in states with decreasing populations, either from general population decline, or from out-migration. For religion, specifically the measure of White Evangelicals, Kasich does better in states with fewer of them. Economically, Kasich does better in states with higher costs of living. Interestingly, he does better in states where Black families have lower incomes. No other family income measure had a significant predictive utility for the Kasich models.