Sometimes linear regression won't give you the answers you need. That's when it may be time to try nonlinear regression. However, nonlinear models are more complicated than linear models to develop, and often stem from trial and error.  

Luckily, there is a solution. IBM SPSS Statistics Regression simplifies the process because it allows you to apply a range of nonlinear regression procedures and predict categorical outcomes with greater speed and accuracy.  

View this brief demo example of how SPSS Statistics Regression is used in banking.