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The REG Procedure

Overview
Getting Started
Simple Linear Regression Polynomial Regression Using PROC REG Interactively
Syntax
PROC REG Statement ADD Statement BY Statement CODE Statement DELETE Statement FREQ Statement ID Statement MODEL Statement MTEST Statement OUTPUT Statement PRINT Statement REFIT Statement RESTRICT Statement REWEIGHT Statement STORE Statement TEST Statement VAR Statement WEIGHT Statement
Details
Missing Values Input Data Sets Output Data Sets Interactive Analysis Model-Selection Methods Criteria Used in Model-Selection Methods Limitations in Model-Selection Methods Parameter Estimates and Associated Statistics Predicted and Residual Values Models of Less Than Full Rank Collinearity Diagnostics Model Fit and Diagnostic Statistics Influence Statistics Reweighting Observations in an Analysis Testing for Heteroscedasticity Testing for Lack of Fit Multivariate Tests Autocorrelation in Time Series Data Computations for Ridge Regression and IPC Analysis Construction of Q-Q and P-P Plots Computational Methods Computer Resources in Regression Analysis Displayed Output Plot Options Superseded by ODS Graphics ODS Table Names ODS Graphics
Examples
Modeling Salaries of Major League Baseball Players Aerobic Fitness Prediction Predicting Weight by Height and Age Regression with Quantitative and Qualitative Variables Ridge Regression for Acetylene Data Chemical Reaction Response
References

Examples: REG Procedure

Subsections:

97.1 Modeling Salaries of Major League Baseball Players
97.2 Aerobic Fitness Prediction
97.3 Predicting Weight by Height and Age
97.4 Regression with Quantitative and Qualitative Variables
97.5 Ridge Regression for Acetylene Data
97.6 Chemical Reaction Response

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