Linear Statistics Modeling and Regression

Course Search > > MATH.5910

Course No: MATH.5910-001; SIS Class Nbr: 15021; SIS Term: 2830
Course Status: Full Added 1/4/19

Course Description

Model building via linear regression models. Method of least squares, theory and practice. Checking for adequacy of a model, examination of residuals, checking outliers. Practical hand on experience in linear model building on real data sets. Prerequisite: Probability, Biostatistics, or Statistics for Engineering and Science.

Prerequisites, Notes & Instructor

  • Prerequisites: Students with a CSCE career need permission to take Graduate Level Courses.
  • Special Notes:
  • Section Notes:
  • Core Codes: MATH, STEM
  • Credits: 3; Contact Hours: 3
  • Instructor: Nilabja Guha
  • Textbook Information

When Offered & Tuition

  • M , 6:30 PM-9:20 PM
  • Spring 2019: Jan 22 to May 07
  • Course Level: Graduate
  • Tuition: $1725
  • Note: There is a $30 per semester, nonrefundable registration fee for credit courses.

Related Programs: B.S. in Mathematics: Statistics Concentration

Every effort has been made to ensure the accuracy of the information presented in this catalog. However, the Division of Online & Continuing Education reserves the right to implement new rules and regulations and to make changes of any nature to its program, calendar, procedures, standards, degree requirements, academic schedules (including, without limitations, changes in course content and class schedules), locations, tuition and fees. Whenever possible, appropriate notice of such changes will be given before they become effective.

Register for this Course

New Students

If you have not already applied and been accepted to a program.
Register Online Register by Mail

Current Students

If you have applied, been accepted and are currently enrolled in a program.
Register Now

Additional Registration Information

Questions:

Online & Continuing Ed Support:

Email our Student Support Center for assistance, or call for advising at (800) 480-3190 and press 1 to speak with an advisor.