Regression Analysis Using STATGRAPHICS
This module covers the use of STATGRAPHICS in fitting various types of regression models.

Module length: 0.5 day

Outline:

Simple Regression

Fitting a Straight Line
Plotting the Fitted Model
Regression Statistics
Lack-of-Fit Tests
Selecting a Nonlinear Model
Analyzing Residuals
Detecting Influential Points
Removing Outliers
Generating Predictions

Polynomial Regression

Selecting the Proper Polynomial
Dangers of Extrapolation

Box-Cox Transformations

Selecting the Proper Power
Skewness and Kurtosis Plots

Multiple Regression

Model Specification
Regression Analysis Table
Stepwise Variable Selection
Detecting Autocorrelation
Cochrane-Orcutt Procedure

Special Topics

Fitting Calibration Models
Generating All Possible Regressions
Comparing Regression Lines
Regression Models for Counts and Proportions