Four Critical Steps in Building Linear Regression Models
with Jeff Meyer
A primary consideration in model building is which variables to include in the model. A secondary one is deciding which predictors to retain in the model.
But the decisions don’t stop there. A number of other considerations can make model building either very straightforward or extremely frustrating.
While you’re worrying about entering predictors, you might be missing topics that have a big impact your analysis.
In this one hour presentation, Jeff tackles four topics that you need to consider when building a regression model. They will give you more accurate results and a less-frustrating model building experience.
Covered in this webinar:
- The value of graphs and tables before you begin
- When and how to add interactions
- Using segmented regression for discontinuous relationships
- Graphing residuals to check for normality and constant variance
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