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Ordinal (ordered) logistic regression model. Used to model an ordered response â for example, low, medium, or high. Might also be called the ordinal multinomial logit model. Ordinal logistic models take into account the ordered nature of the response, which can result in simple, more powerful models.
In regression there are typically two types of F values. One is an omnibus F, which if high suggests that overall the linear model is better than just taking a straight average as the prediction, and individual F values for each predictor, which if high suggest that adding the predictor to the model helps predict the response.