Building Predictive Models
Course Description
This course covers linear and logistic regression methodology. We will use these
techniques to create predictive models and interpret the generated output.
Learn how to use dummy variables and interaction terms, as well as variable
selection methods and model building philosophies.
Who Should Attend
- Analysts and researchers with some statistical training who want to build
predictive models
Prerequisites
- Knowledge of the basics of SPSS equivalent to the level of the Introduction
to SPSS course
- Statistical knowledge equivalent to the level covered by the Introduction
to Statistics course
Course Content
- Introduction to Regression
- Examining the data
- Simple Regression: Fit and assumptions
- Multiple Regression: Fit and assumptions
- Stepwise Regression
- Influential points and multicollinearity
- Including categorical predictors in Regression models via dummy variables
- Running Logistic Regression
- Logistic Regression output
SPSS Products Used
- SPSS Base and SPSS Regression
Duration
"Complex concepts were explained in a very clear and easily understandable way."
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