- HOMEWORK: Homework will be assigned in class and due each Monday before or after the lecture (except for the first HW, which is due two weeks after the first Monday). 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 one in-class midterm exams. Exam dates: Wed., Feb. 14, 2018 (during the lecture).. One page of notes (both sides, regular-size paper) is allowed for the midterm.

- FINAL: There will be an in-class final exam. Exam date: Determined by the University. Two pages of notes (both sides, regular-size paper) is allowed for the final.
- 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 40%, MIDTERM 20%, PROJECT 20% (10% each), HOMEWORK 20%. (