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Graduate & Extended Learning
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BUS575 Linear Models

Linear models are used extensively to identify crucial variables and measure their impact on outcome in all areas of business, as well as the sciences and engineering. They are used in both designed and observational studies and have become extremely powerful in recent years as computing has caught up with theory and is now motivating methodological advances. Graphical methods have been developed rapidly. Topics include simple linear regression, multiple regression, graphical analysis of model adequacy, violations of assumptions, and alternative to least squares.

Credits

  • 3

Restrictions

  • Must be enrolled in the following level: Graduate
  • Must be enrolled in one of the following majors: Public Accountancy (262), Business Administration (261)
  • Students cannot elect the Satisfactory/Unsatisfactory grade option for this course

Prerequisites

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