Models describe complex relationships in a table’s data. A model consists of one or more outcome variables, one or more explanatory variables, and the hypothesized relationship between them.
Models are useful for testing whether a hypothesized relationship between variables is statistically significant after controlling for the effects of other variables. They are also useful for making predictions. Wizard supports a number of model types:
Wizard will report the estimated coefficients of each model, along with standard errors, significance tests, and diagnostic information. After a model has been created, it can then be used to make concrete predictions.