Regression Analysis provides students with the skills and techniques necessary for the intelligent statistical analysis of a response variable. The book underscores statistical concepts, de-emphasizes formulas, and incorporates real data from the most popular package at this level, SAS. Regression Analysis also covers other linear models such as analysis of variance, analysis of covariance, analysis of a binary response variable, as well as an introduction to nonlinear regression.
Table of contents:
The Basics
A Review of Basics and an Introduction to Linear Models
Simple Linear Regression
Linear Regression with One Independent Variable
Multiple Regression
Problems with Observations
Multicollinearity
Problems with the Model
Polynomial Models
Intrinsically Linear and Nonlinear Models
The General Linear Mode
Categorical Response Variables
Table of contents:
The Basics
A Review of Basics and an Introduction to Linear Models
Simple Linear Regression
Linear Regression with One Independent Variable
Multiple Regression
Problems with Observations
Multicollinearity
Problems with the Model
Polynomial Models
Intrinsically Linear and Nonlinear Models
The General Linear Mode
Categorical Response Variables