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Course Description

No regression model is ever complete, or perfect. You can have a very good model, and you should strive for a degree of complexity and fidelity that meets your predictive or decision-making needs. Your ability—and that of your associates—to trust your regression model will be improved significantly the first time it performs well in a real situation. In this lesson, you will consider whether your goals can be met by introducing a categorical variable to your regression analysis, and how if appropriate, you can use a holdout sample to test your regression model.

Benefits to the Learner

  • Examine how to test your regression model using a holdout sample
  • Consider how you might adjust your approach to regression if you are examining categorical variables or creating categorical variables within your quantitative data
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Type
self-paced (non-instructor led)
Dates
Dec 21, 2017 to Dec 31, 2030
Total Number of Hours
1.0
Course Fee(s)
Regular Price $0.00
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