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Math 344: Regression Analysis
Fall 2017 Course Syllabus

NJIT Academic Integrity Code: All Students should be aware that the Department of Mathematical Sciences takes the University Code on Academic Integrity at NJIT very seriously and enforces it strictly. This means that there must not be any forms of plagiarism, i.e., copying of homework, class projects, or lab assignments, or any form of cheating in quizzes and exams. Under the University Code on Academic Integrity, students are obligated to report any such activities to the Instructor.

Course Information

Course Description: This course introduces the methods for fitting and interpreting regression models. Topics include ordinary least squares, inference for the Normal regression model, model diagnostics and test of fit, transformation of data, qualitative predictors, effects of measurement error, and model selection.

Number of Credits: 3

Prerequisites:  Math 341 with a grade of C or better and Math 333 with grade of C or better

Course-Section and Instructors

Course-Section Instructor
Math 344-001 Professor J. M. Loh

Office Hours for All Math Instructors: Fall 2017 Office Hours and Emails

Required Textbook:

Title Applied Linear Regression Models
Author Kutner, Nachtsheim and Neter
Edition 4th
Publisher McGraw-Hill
ISBN # 0-072386916

University-wide Withdrawal Date: The last day to withdraw with a W is Monday, November 6, 2017. It will be strictly enforced.


DMS Course Policies: All DMS students must familiarize themselves with, and adhere to, the Department of Mathematical Sciences Course Policies, in addition to official university-wide policies. DMS takes these policies very seriously and enforces them strictly.

Grading Policy: The final grade in this course will be determined as follows:

Homework (Quizzes Count as HW) 20%
Midterm Exams (2) 45%
Final Exam 35%

Your final letter grade will be based on the following tentative curve.

A 90 - 100 C 50 - 59
B+ 80 - 89 D 40 - 49
B 70 - 79 F 0 - 39
C+ 60 - 69

Attendance Policy: Attendance at all classes will be recorded and is mandatory. Please make sure you read and fully understand the Math Department’s Attendance Policy. This policy will be strictly enforced.

Homework Policy: No late homework will be accepted.

Exams: There will be two midterm exams held in class during the semester and one comprehensive final exam. Exams are held on the following days:

Midterm Exam I October 19, 2017
Midterm Exam II November 6, 2017
Final Exam Period December 15 - 21, 2017

The final exam will test your knowledge of all the course material taught in the entire course. Make sure you read and fully understand the Math Department's Examination Policy. This policy will be strictly enforced.

Makeup Exam Policy: There will be No make-up QUIZZES OR EXAMS during the semester. In the event an exam is not taken under rare circumstances where the student has a legitimate reason for missing the exam, the student should contact the Dean of Students office and present written verifiable proof of the reason for missing the exam, e.g., a doctor’s note, police report, court notice, etc. clearly stating the date AND time of the mitigating problem. The student must also notify the Math Department Office/Instructor that the exam will be missed.

Cellular Phones: All cellular phones and other electronic devices must be switched off during all class times.

Additional Resources

Math Tutoring Center: Located in the Central King Building, Lower Level, Rm. G11 (See: Fall 2017 Hours)

Further Assistance: For further questions, students should contact their instructor. All instructors have regular office hours during the week. These office hours are listed on the Math Department's webpage for Instructor Office Hours and Emails.

All students must familiarize themselves with and adhere to the Department of Mathematical Sciences Course Policies, in addition to official university-wide policies. The Department of Mathematical Sciences takes these policies very seriously and enforces them strictly.

Accommodation of Disabilities: Disability Support Services (DSS) offers long term and temporary accommodations for undergraduate, graduate and visiting students at NJIT.

If you are in need of accommodations due to a disability please contact Chantonette Lyles, Associate Director of Disability Support Services at 973-596-5417 or via email at The office is located in Fenster Hall Room 260. A Letter of Accommodation Eligibility from the Disability Support Services office authorizing your accommodations will be required.

For further information regarding self identification, the submission of medical documentation and additional support services provided please visit the Disability Support Services (DSS) website at:

Important Dates (See: Fall 2017 Academic Calendar, Registrar)

Date Day Event
September 5, 2017 T First Day of Classes
September 11, 2017 M Last Day to Add/Drop Classes
November 6, 2017 M Last Day to Withdraw
November 21, 2017 T Thursday Classes Meet
November 22, 2017 W Friday Classes Meet
November 23 - 26, 2017 R - Su Thanksgiving Break - University Closed
December 13, 2017 W Last Day of Classes
December 14, 2017 R Reading Day
December 15 - 21, 2017 F - R Final Exam Period

Course Outline

Week Chapter Topic
1 1 Introduction to linear regression; Introduction to R statistical software
2 1 Ordinary least squares; parameter estimation; Normal regression model
3 2 Statistical inference review; Inference for the slope
4 2 Inference for regression; Analysis of Variance
5 3 Coefficient of determination; Diagnostics
6 4 Transformations; joint inference
7 $ Regression through the origin; Midterm 1
8 5 Matrices and Matrix representation of simple linear regression
9 6 Multiple regression – model and inference
10 6 - 7 Multiple regression
11 8 Quantitative and qualitative predictors
12 8 Polynomial regression; Midterm 2
13 9 Variable Selection – best subset; Mallows Cp
14 9 Collinearity; Diagnostics and remedial measures
15 Review
16 Final Exam

Updated by Professor J. M. Loh - 8/29/2017
Department of Mathematical Sciences Course Syllabus, Fall 2017