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STAT 3553

Regression Modeling (Honours)

0.5 credit · Undergraduate

Linear regression - theory, methods and application(s). Normal distribution theory. Hypothesis tests and confidence intervals. Model selection. Model diagnostics. Introduction to weighted least squares and generalized linear models.

2022

Readings

  • Title: Applied Regression Analysis, 3rd Edition Authors: Norman R. Draper and Harry Smith Publisher: John Wiley & Sons 1998

Prerequisites & course information

Precludes additional credit for STAT 3503 . Prerequisite(s): i) STAT 2559 with a grade of C- or higher, or STAT 2210 with a grade of C or higher; and ii) a grade of C- or higher in MATH 1152 or MATH 1107 or MATH 1104 ; or permission from the School of Mathematics and Statistics. Lectures three hours a week, laboratory one hour a week.

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