SAS Enterprise Guide: ANOVA, Regression, and Logistic Regression (SAS Inc.)

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This outline is provisional and subject to change.This course is designed for SAS Enterprise Guide users who want to perform statistical analyses. This course replaces the course.Learn how togenerate descriptive statistics and explore data with graphs perform analysis of variance perform linear regression and assess the assumptions use diagnostic statistics to identify potential outliers in multiple regression use chi-square statistics to detect associations among categorical variables fit a multiple logistic regression model. ...
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Content



Introduction to Statistics
  • discussing fundamental statistical concepts
  • examining distributions
  • describing categorical data

Inferences for the Mean
  • constructing confidence intervals
  • performing simple tests of hypothesis

Analysis of Variance
  • performing one-way ANOVA
  • performing multiple comparisons
  • performing two-way ANOVA with and without interactions

Regression
  • using exploratory data analysis
  • producing correlations
  • fitting a simple linear regression model
  • understanding the concepts of multiple regression
  • building and interpreting models
  • exploring stepwise selection techniques

Model Building and Interpretation
  • describing all regression techniques
  • examining residuals
  • investigating influential observations and collinearity

Categorical Data Analysis
  • describing categorical data
  • examining tests for general and linear association
  • understanding the concepts of logistic regression and multiple logistic regression
  • exploring logit plots (Self-Study)
This SAS Enterprise Guide: ANOVA, Regression, and Logistic Regression course (EGBS42) offered by SAS Inc. information was verified on [01/18/10]. The course was updated on [01/18/10].

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