Learn to perform a wide variety of regression analyses using SAS software with this example-driven favorite from SAS Publishing. With SAS System for Regression, Third Edition, you will learn the basics of performing regression analyses using a wide variety of models including nonlinear models. Other topics include performing linear regression analyses using PROC REG and diagnosing and providing remedies for data problems, including outliers and multicollinearity. Examples feature numerous SAS procedures including REG, PLOT, GPLOT, NLIN, RSREG, AUTOREG, PRINCOMP, and others. Authors Rudolf Freund and Ramon Littell supply a helpful discussion of theory where necessary. Some knowledge of both regression and SAS are assumed. The updated third edition includes revisions, updated material, and new material. You'll find information on using SAS/INSIGHT software, regression with a binary response with emphasis on PROC LOGISTIC, and nonparametric regression (smoothing) using moving averages and PROC LOESS. Additionally, updated material throughout the book includes high-resolution PROC REG graphics output, data sets by the OUTEST option described and illustrated, and using PROC SCORE to predict another data set.One of the useful features of PROC REG (as well as other SAS regression procedures) is that the yE values can be ... In the airline cost data, the 95% confidence interval for the mean of the first airline is from 2.2042 to 2.9432 cents per mileanbsp;...
|Title||:||SAS System for Regression|
|Author||:||Rudolf J. Freud, Ph.D., Ramon C. Littell, Ph.D.|
|Publisher||:||SAS Institute - 2000-10-01|