Deep Dive into Linear Regression in IBM SPSS Statistics

This two day course will provide an overview of linear regression. It will review the theory, assumptions, and output from linear regression. On completing this course, you should be confident in running linear regression in IBM SPSS Statistics.

This course will cover:
• Introduction to linear regression
• Regression assumptions
• Examining the data
• Simple regression: fit & assumptions
• Multiple regression: fit & assumptions
• Stepwise regression
• Influential points and multicollinearity
• Creating dummy variables and interpreting output
• Automated Linear Modelling

Course attendees will receive course manual and sample data files following completion of the course.

Best for: Analysts and researchers who are familiar with statistical analysis and want to learn how to run linear regression in IBM SPSS Statistics.