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Course Description

It's important to remember that the results of a regression analysis are merely numbers. In order to create valuable insight from these numbers, you will need to use your business intuition to interpret them. Often the numbers in the first regression analysis will yield contradictory or unclear results. You will need to decide what to do in this case, and you may choose to modify the regression model. In this lesson, you will determine how to test your regression model for validity. You will identify possible interactions between two or more of your independent variables, and see how correlation tables can be used to determine how to adjust your model to account for these interactions. You will also examine how residual plots can be used to help you more readily identify nonlinear associations, and adjust for these nonlinearities.

Benefits to the Learner

  • Examine the relationships between independent attributes to identify potential multicollinearity
  • Identify when to generate residual plots to help you more readily find nonlinear associations
  • Use correlation tables to see how to adjust your model to account for possible interactions between your independent variables
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Enroll Now - Select a section to enroll in
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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