ClassInfo

CSC 423 Data Analysis and Regression

Raffaella Settimi-Woods

Office: CDM 904
Spring 2012-2013
Class number: 35034
Section number: 910
-
Online Campus
Course homepage: http://d2l.depaul.edu

Summary


The course is on multiple regression methods. The course topics include:
- Inference for distributions: inference for a population mean, comparing two population means using paired or independent samples, checking normal assumptions.
- Multiple regression and correlation, analysis of residuals.
- Model selection procedures.
- Logistic regression models.
The objectives of this course are to:
- teach students to perform simple data analyses using a statistical tool and to interpret the output of their analysis;
- enable students to be informed and critical readers of quantitative arguments,
- appreciate the role of statistics in empirical research and scientific study, and
- gain flexible problem-solving skills applicable to unfamiliar statistical settings.
See more extensive syllabus on course website



Texts


REQUIRED
A Second Course in Statistics: Regression Analysis, 7th ed., William Mendenhall, Terry L. Sincich, Prentice Hall, 2011 (ISBN: 0321691695) - Or previous edition

Introductory notes on SAS & R will be posted on the course website.

ALTERNATIVE BOOK for students interested in a more mathematical/theoretical approach: Introduction to Linear Regression Analysis, 5th ed., by D. Montgomery, E. Peck, G. Vining. Wiley and Sons, 2012. ISBN: 978-0-470-54281-1

OPTIONAL:

Applied Statistics and the SAS Programming Language, 5th edition, by Cody, R.P. and Smith. J.S. Prentice Hall (2005), ISBN: 0131465325.



Grading


Homework assignments (40%).
Exam (30%). Tentatively scheduled on Wednesday May 29th, 2013 (week 9).
Final Group Project. Details will be provided in class. (30%)
Students receiving more than 90% of possible points are guaranteed at least an A-, more than 80% at least a B-, more than 70% at least a C-, and more than 60% at least a D.


Prerequisites

IT223 or consent of instructor. Students should be familiar with statistical inference methods, including sampling distributions, confidence intervals and hypothesis testing. A brief review of these topics will be covered in the first lecture.


Software

Students have the option of using either SAS or R.
The statistical package SAS 9.2 is available in all DePaul labs. Students can request a copy of SAS 9.2 for Windows (No Mac-Ox) - instructions will be emailed during the first week. Two lab sessions (to be recorded for online students) will be scheduled during the quarter.
The statistical software R is free. Installation instructions will be posted on the course website.


Online Students

Recordings of each lecture will be available a few hours after the "live" class, and can be found at the course website https://col.cdm.depaul.edu. Online students are expected to watch the lectures every week and to keep up with the course information posted on the course website.

Students are encouraged to contact the instructor through email at rsettimi@cdm.depaul.edu, phone (312 3625556) or skype (skype id is raffasw). Most emails will be answered within 24 hours.

Online students will receive a copy of SAS 9.2 to install on their home computer. If they live in Chicago, they pick up a copy of the software from either the Loop or LPC campus. If thats not possible, I will make alternative arrangements. This is explained in the SAS instructions posted online.



A review of basic concepts relevant to our course, students should have already covered much of this material elsewhere. Inference for the mean of a population. Introduction to SAS and R. (Chapter 1: sections 1.1 through 1.9)

Inference on two population means: two independent samples and paired samples. Lab session. (Chapter 1: Sections 1.10-1.11.) Linear regression & correlation. (Ch. 3) Multiple regression models: estimating model parameters and understanding the model assumptions. (Chapter 4: sections 4.1 through 4.8, 4.14) Multiple regression: residual analysis and model diagnostics (Chapters 8: sections 8.1 to 8.5). Models with qualitative variables (chapter 5: sections 5.1, 5.2, 5.3, 5.7) Model selection methods (chapter 6). Multicollinearity and influential observations (chapter 7) Logistic regression and predictive models for qualitative variables (Chapter 9: sections 9.5,9.6) Building more complex models: non-linear regression, polynomial regression. (Section 4.9, 4.10, 4.11, 4.12, 4.14. Chapter 5.). Exam More complex models, and advanced topics in regression

School policies:

Changes to Syllabus

This syllabus is subject to change as necessary during the quarter. If a change occurs, it will be thoroughly addressed during class, posted under Announcements in D2L and sent via email.

Online Course Evaluations

Evaluations are a way for students to provide valuable feedback regarding their instructor and the course. Detailed feedback will enable the instructor to continuously tailor teaching methods and course content to meet the learning goals of the course and the academic needs of the students. They are a requirement of the course and are key to continue to provide you with the highest quality of teaching. The evaluations are anonymous; the instructor and administration do not track who entered what responses. A program is used to check if the student completed the evaluations, but the evaluation is completely separate from the student’s identity. Since 100% participation is our goal, students are sent periodic reminders over three weeks. Students do not receive reminders once they complete the evaluation. Students complete the evaluation online in CampusConnect.

Academic Integrity and Plagiarism

This course will be subject to the university's academic integrity policy. More information can be found at http://academicintegrity.depaul.edu/ If you have any questions be sure to consult with your professor.

All students are expected to abide by the University's Academic Integrity Policy which prohibits cheating and other misconduct in student coursework. Publicly sharing or posting online any prior or current materials from this course (including exam questions or answers), is considered to be providing unauthorized assistance prohibited by the policy. Both students who share/post and students who access or use such materials are considered to be cheating under the Policy and will be subject to sanctions for violations of Academic Integrity.

Academic Policies

All students are required to manage their class schedules each term in accordance with the deadlines for enrolling and withdrawing as indicated in the University Academic Calendar. Information on enrollment, withdrawal, grading and incompletes can be found at http://www.cdm.depaul.edu/Current%20Students/Pages/PoliciesandProcedures.aspx.

Students with Disabilities

Students who feel they may need an accommodation based on the impact of a disability should contact the instructor privately to discuss their specific needs. All discussions will remain confidential.
To ensure that you receive the most appropriate accommodation based on your needs, contact the instructor as early as possible in the quarter (preferably within the first week of class), and make sure that you have contacted the Center for Students with Disabilities (CSD) at:
Lewis Center 1420, 25 East Jackson Blvd.
Phone number: (312)362-8002
Fax: (312)362-6544
TTY: (773)325.7296