Multinomial Logistic Regression of Impact of biklane implementation in Puerto Madryn – Analysis factor: Difficulties

Table with Multinomial Logistic Regression of impact of biklane implementation with factors being difficulties. In the experiment, the dependent variable is the potential impact of cycling infrastructure and the factors are all the difficulties commonly found when cycling. The goal of multinomial logistic regression is to construct a model that explains the relationship between the explanatory variables (namely also independent or factors) and the outcome (dependent), so that the outcome of a new "experiment" can be correctly predicted for a new data point for which the explanatory variables, but not the outcome, are available. In the process, the model attempts to explain the relative effect of differing explanatory variables on the outcome.