Regression Analysis (#642)
Issued by
Statistics.com
The course objective is to explain how to derive multiple linear regression models, how to use software to implement them, and what assumptions underlie the models. You will also learn how to test whether your data meets those assumptions, what can be done when those assumptions are not met, and strategies to build and understand useful models.
Additional DetailsEarning Criteria
-
The methods of assessment include quizzes, and more with a minimum passing score of 80%.
-
Instructional strategies include: discussion, computer-based training, project-based instruction, coaching/mentoring, practical exercises, classroom exercise.
Endorsements
-
American Council on Education
This credential has been successfully evaluated by the American Council on Education for college credit. It is recommended for a total of 3 Graduate college credits in Regression Analysis. For more information about ACE Learning Evaluations, visit www.acenet.edu. -
American Council on Education
3 semester hours in regression analysis in the graduate category