Choosing Analyze:Fit ( Y X ) gives you access to a variety of techniques for fitting models to data. These provide methods for examining the relationship between a response (dependent) variable and a set of explanatory (independent) variables.
You can use generalized linear models to analyze the data when the response is from a distribution of the exponential family and a function can be used to link the response mean to a linear combination of the explanatory variables.
You can use spline and kernel smoothers for nonparametric regression when the model has one or two explanatory variables.
Figure 39.1: Fit Analysis