STAT208: Linear Statistical Models

Theory, methods, and applications of linear statistical models. Review of simple correlation and simple linear regression. Multiple and partial correlation and multiple linear regression. Analysis of variance and covariance. Linear model diagnostics and model selection. Case studies drawn from natural, social, and medical sciences. Course 205 strongly recommended as a prerequisite. Undergraduates are encouraged to take this class with permission of instructor. Prerequisite(s): STAT 205 or STAT 205B. Enrollment is restricted to graduate students. Undergraduate students may enroll by permission of the instructor if they've completed STAT 205 or STAT 205B (needs to be verified by instructor).

5 credits

Year	Fall	Winter	Spring	Summer
2024-25			Section 01 Paul Parker (pparker1)
2023-24			Section 01 Paul Parker (pparker1)
2022-23			Section 01 Paul Parker (pparker1)
2021-22			Section 01 Paul Parker (pparker1)
2020-21			Section 01 Staff

Comments

Formerly AMS 0256

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