JMP Start Statistics, 5th Edition

Chapter Contents 

Overview

Parts of a Regression Model

Regression Definitions

A Multiple Regression Example

Residuals and Predicted Values

The Analysis of Variance Table

The Whole Model F-Test

Whole-Model Leverage Plot

Details on Effect Tests

Effect Leverage Plots

Collinearity

Exact Collinearity, Singularity, Linear Dependency

The Longley Data: An Example of Collinearity

The Case of the Hidden Leverage Point

Mining Data with Stepwise Regression

Exercises

Parts of a Regression Model

Linear regression models are the sum of the products of coefficient parameters and factors. In addition, linear models for continuous responses are usually specified with a Normally-distributed error term. The parameters are chosen such that their values minimize ...