Often, regression models that appear nonlinear upon first glance are actually linear. The curve estimation procedure can be used to identify the nature of the functional relationships at play in ...

Thus, you should use caution in interpreting these statistics for nonlinear models, especially for small sample sizes. For linear models, these results are exact and are the same as standard linear ...

Multiple regression is a broader class of regression analysis, which encompasses both linear and nonlinear regressions with multiple explanatory variables. Regression analysis is a statistical ...

The idea here is that the synthetic data does have an underlying, but complex, non-linear structure which can be predicted. All of the predictor values are between -1 and +1. There are 200 training ...

Example 8.15: Full-Screen Nonlinear Regression. This example shows how to build a menu system that enables you to perform nonlinear regression from a menu. Six modules are stored on an IML storage ...

The idea here is that the synthetic data does have an underlying, but complex, non-linear structure which can be predicted. All of the predictor values are between -1.0 and +1.0. There are 200 ...

We’ll use data taken from a Pew Research Center 2016 post-election survey, and you can download the dataset for your own use here. We’ll discuss both bivariate regression, which has one outcome ...