Pearson: The approximation to the chi-square distribution that the Pearson test uses is inaccurate when the expected number of events per row in the data is small. In a binary logistic regression, the dependent variable is binary, meaning that the … Therefore, deviance R2 is most useful when you compare models of the same size. The higher the deviance R2, the better the model fits your data. In these results, the dosage is statistically significant at the significance level of 0.05. At the base of the table you can see the percentage of correct predictions is 79.05%. In these results, the equation is written as the probability of a success. Logistic regression is used to predict the class (or category) of individuals based on one or multiple predictor variables (x). The authors evaluated the use and interpretation of logistic regression … and we interpret OR >d 1 as indicating a risk factor, and OR
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