Regression Analysis (350-0-22)

Instructors

Wenxin Jiang
847.491.5081
2006 Sheridan, Room 203/Department of Statistics

Meeting Info

University Hall 102: Mon, Wed, Fri 10:00AM - 10:50AM

Overview of class

This is an applied regression course. We will discuss statistical estimation and inferential techniques such as least-squares, confidence intervals, and hypothesis tests, regarding both the regression parameters and the error variance. We will study the regression models by specifying what the underlying assumptions are, how to check them through diagnostics, and how to build models based on data.

Registration Requirements

Prerequisites: STAT 201-0 or COMP_SCI 110-0 and STAT 202-0 or STAT 210-0 or STAT 232-0 or PSYCH 201-0 or IEMS 201-0 or IEMS 303-0. Prerequisite or co requisite: STAT 320-1

Class Materials (Required)

Either: Applied Linear Regression Models (4th edition)
by Kutner, Nachtsheim and Neter (2004, ISBN: 0073014664),
Or: Applied Linear Statistical Models, 5th edition by J.Neter et al. ISBN‐10:007310874 XISBN‐13:978‐0‐07‐310874‐2 Publisher: McGraw‐Hill/Irwin Year:2004. Amazon paperback price as in Oct. 2024 is about $73.

Class Attributes

Formal Studies Distro Area

Enrollment Requirements

Enrollment Requirements: Prerequisites: STAT 201-0 or COMP_SCI 110-0 and STAT 202-0 or 210-0 or 232-0 or PSYCH 201-0 or IEMS 201-0 or 303-0. Co-requisite: STAT 320-1 or 383-0 or MATH 310-1 or 311-1 or 314-0 or 385-0 or ELEC_ENG 302-0 or IEMS 302-0.