SAS STAT 9.2 User's Guide: The REG Procedure (Book Excerpt) by SAS Publishing

By SAS Publishing

The REG approach is a general-purpose approach for linear regression.

Show description

Read Online or Download SAS STAT 9.2 User's Guide: The REG Procedure (Book Excerpt) PDF

Similar mathematical & statistical books

S Programming

S is a high-level language for manipulating, analysing and exhibiting facts. It varieties the root of 2 hugely acclaimed and established information research software program platforms, the economic S-PLUS(R) and the Open resource R. This booklet offers an in-depth advisor to writing software program within the S language less than both or either one of these structures.

IBM SPSS for Intermediate Statistics: Use and Interpretation, Fifth Edition (Volume 1)

Designed to aid readers examine and interpret learn information utilizing IBM SPSS, this elementary ebook exhibits readers find out how to decide upon the suitable statistic in keeping with the layout; practice intermediate records, together with multivariate information; interpret output; and write in regards to the effects. The publication stories learn designs and the way to evaluate the accuracy and reliability of knowledge; how you can make sure even if facts meet the assumptions of statistical exams; how one can calculate and interpret influence sizes for intermediate information, together with odds ratios for logistic research; easy methods to compute and interpret post-hoc strength; and an outline of simple facts if you desire a evaluation.

An Introduction to Element Theory

A clean replacement for describing segmental constitution in phonology. This publication invitations scholars of linguistics to problem and reconsider their current assumptions in regards to the type of phonological representations and where of phonology in generative grammar. It does this through delivering a accomplished advent to point idea.

Algorithmen von Hammurapi bis Gödel: Mit Beispielen aus den Computeralgebrasystemen Mathematica und Maxima (German Edition)

Dieses Buch bietet einen historisch orientierten Einstieg in die Algorithmik, additionally die Lehre von den Algorithmen,  in Mathematik, Informatik und darüber hinaus.  Besondere Merkmale und Zielsetzungen sind:  Elementarität und Anschaulichkeit, die Berücksichtigung der historischen Entwicklung, Motivation der Begriffe und Verfahren anhand konkreter, aussagekräftiger Beispiele unter Einbezug moderner Werkzeuge (Computeralgebrasysteme, Internet).

Extra info for SAS STAT 9.2 User's Guide: The REG Procedure (Book Excerpt)

Sample text

VIF produces variance inflation factors with the parameter estimates. Variance inflation is the reciprocal of tolerance. See the section “Collinearity Diagnostics” on page 5549 for more detail. WHITE See the HCC option. XPX displays the X0 X crossproducts matrix for the model. The crossproducts matrix is bordered by the X0 Y and Y0 Y matrices. MTEST Statement < label: > MTEST < equation < , . . , equation > > < / options > ; where each equation is a linear function composed of coefficients and variable names.

If you specify the RIDGE= option, RESTRICT statements are ignored. RSQUARE has the same effect as the EDF option. SIMPLE displays the sum, mean, variance, standard deviation, and uncorrected sum of squares for each variable used in PROC REG. SINGULAR=n tunes the mechanism used to check for singularities. The default value is machine dependent but is approximately 1E 7 on most machines. This option is rarely needed. Singularity checking is described in the section “Computational Methods” on page 5578.

GROUPn are assigned to groups encountered in the MODEL statement. Variables not enclosed by braces are used as groups of a single variable. For example: model y={x1 x2} x3 / selection=stepwise groupnames=’x1 x2’ ’x3’; Another example: model y={ht wgt age} bodyfat / selection=forward groupnames=’htwgtage’ ’bodyfat’; HCC requests heteroscedasticity-consistent standard errors of the parameter estimates. You can use the HCCMETHOD= option to specify the method used to compute the heteroscedasticityconsistent covariance matrix.

Download PDF sample

Rated 4.49 of 5 – based on 40 votes