Business Knowledge Series Kurs

Durchgeführt von George Fernandez, Analytical Training Consultant, Education Division, SAS

In this course, you use six user-friendly, precompiled SAS macro applications to perform comprehensive multiple linear and binary logistic regression analyses. As part of these analyses, you prepare and explore data, select variables, and create diagnostic plots related to model specification and model assumption validation. This user-friendly approach integrates statistical and graphical analysis tools that are available in SAS/STAT and provides complete statistical solutions without writing SAS code or using a point-and-click approach. Step-by-step instructions show you how to use these user-friendly SAS/STAT applications and how to interpret the results. After class, you can download the compiled SAS macro catalog to perform comprehensive analysis on your own projects.

• Convert PC data files to SAS data sets and create summary statistics.
• Perform data and graphical explorations of nominal and interval variables.
• Perform comprehensive analysis in multiple linear and binary logistic regression models.

Zielgruppe / Who should attend

Verfügbare Schulungsformen / Formats available	Dauer (kann variieren, Details s. Terminliste)
Präsenzkurs:	1 Tag

Prior SAS software experience is not required to use the SAS applications that are presented in this course. Prior knowledge of ANOVA and regression is recommended.

In diesem Kurs wird mit folgenden Software Modulen gearbeitet / This course addresses SAS Enterprise Guide, SAS Studio Software

• Introduction.
• Regression modeling steps.
• Regression modeling solutions.
• User-friendly SAS macro applications.

• Introduction.
• Data attributes.
• Variables.
• Data partitioning.
• User-friendly compiled macro applications.

• Introduction.
• Exploring interval variables.
• Exploring nominal variables.

• Introduction.
• Multiple linear regression modeling.
• Binary logistic regression modeling.