Loading...

Course Description

Making statistical predictions based on real-world data is complex and requires a more rigorous statistical model. In this course, you will learn to apply multivariate regression statistical models to make predictions. First, you will identify the variables that best explain your results and define the relationships between dependent and independent variables. You will then practice identifying and interpreting the results of a multiple regression model and making predictions based on that model.

You are required to have completed the following courses or have equivalent experience before taking this course:

  • Interpreting and Communicating Data
  • Using Statistical Test to Make Decisions
  • Applying Statistical Tests

Faculty Author

Liz Karns

Benefits to the Learner

  • Interpret the variable of interest and its statistical significance while adjusting for potential confounders
  • Choose the best model based on relative strength and significance
  • Expand the model to improve the fit using multiple regression

Target Audience

  • Professionals in any industry who need to communicate and interpret data
  • Business managers utilizing analytics or benchmarking and comparison
  • Professionals from any business function
  • Government workers engaged in policy analysis
  • Healthcare professionals
Loading...
Cornell ILR School
Thank you for your interest in this course. Unfortunately, the course you have selected is currently not open for enrollment. Please complete a Course Inquiry so that we may promptly notify you when enrollment opens.
Required fields are indicated by .