Biostatistics Using JMP

Chapter 9: Regression and Curve Fitting

9.1 Introduction

9.2 Simple Linear Regression

9.2.1 Fit Y by X for Bivariate Fits (One X and One Y)

9.2.2 Special Fitting Tools

9.3 Multiple Regression

9.3.1 Fit Model

9.3.2 Stepwise Feature Selection

9.3.3 Analysis of Covariance (ANCOVA)

9.4 Nonlinear Curve Fitting and a Nonlinear Platform Example

9.5 References

9.1 Introduction

Curve fitting involves fitting a line through data points. The process and result facilitate modeling the relationship between changes in independent variables (e.g., X) and dependent variables (e.g., Y). From this model, you can predict future values and explain how a change in X can result in a change in Y.

This chapter begins by discussing simple linear regression, a very simple ...