- HOMEWORK: Homework will be assigned in class and due each Wednesday before or after the lecture (except for the first HW, which is due a week after the first Wed.). The graded homework will be given back during the discussion sessions. The lowest two homework grades will be dropped in calculating the overall homework score. No late homework.

- PROJECT: There will be two projects involving computer data analysis. Each project is due in two weeks. Although we recommend that you use R to complete the projects, use of other softwares is also allowed. The TA is responsible in providing instructions for R.

- MIDTERM: There will be two in-class midterm exams. Exam dates: 1. Monday, April 24, 12:10 - 1:00 p.m., OLSON 6 (lecture room); 2. Friday, May 12, 12:10 - 1:00 p.m., OLSON 6 (lecture room). One page of notes (both sides, regular-size paper) is allowed for each midterm.

- FINAL: There will be an in-class final exam. Exam date: Thursday, June 15, 10:30 a.m. - 11:30 a.m., OLSON 6.
- Introduction

- Simple linear regression

- Inference in regression and correlation analysis

- Diagnostics and remedial measures

- Simultaneous inference

- Matrix expressions

- Multiple linear regression

- Quantitative and qualitative predictors

- Variable selection

- More on diagnostics and remedial measures

- More on diagnostics and remedial measures

STAT 108 Regression Analysis

Syllabus

FINAL 20%, MIDTERM 40% (20% each), PROJECT 20% (10% each), HOMEWORK 20%. (