Logistic regression is preferrable over a simpler statistical test such as chi-squared test or Fisher’s exact test as it can incorporate more than one explanatory variable and deals with possible ...

Linear regression. Logistic regression. Outcome variable . Models continuous outcome variables. Models binary outcome variables. Regression line. Fits a straight line of best fit. Fits a non-linear ...

Logistic regression can in principle be modified to handle problems where the item to predict can take one of three or more values instead of just one of two possible values. The is sometimes called ...

This book also explains the differences and similarities between the many generalizations of the logistic regression model. The following topics are covered: binary logit analysis, logit analysis of ...

The LOGISTIC and PROBIT procedures can perform logistic and ordinal logistic regression. See Chapter 5, "Introduction to Categorical Data Analysis Procedures," Chapter 39, "The LOGISTIC Procedure," ...

Logistic regression is best explained by example. Continuing the example above, suppose a person has age = x1 = 3.5, income = x2 = 5.2 and height = x3 = 6.7 where the predictor x-values have been ...