All Students should be aware that the
Department of Mathematical Sciences takes the NJIT Honor Code 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 Honor Code, students
are obligated to report any such activities to the Instructor.
Math 644: Regression Analysis Methods
Instructor (for specific
course-related information, follow the link below):
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Prof. Johnson
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Prerequisites:
Math 661.
Number of Credits: 3
Course Description: Regression models and the least squares criterion. Simple and multiple linear regression. Regression diagnostics. Confidence intervals and tests of parameters, regression and analysis of variance. Variable selection and model building. Dummy variables and transformations, growth models. Other regression models such as logistic regression. Using statistical software for regression analysis.
Departmental Policies:
Attendance: Students must attend all classes. Absences from
class will inhibit your ability to fully participate in class discussions and
problem solving sessions and, therefore, affect your grade. Tardiness to class
is very disruptive to the instructor and students and will not be tolerated.
Makeup Exam Policy: There will be no makeup exams, except in rare
situations where the student has a legitimate reason for missing an exam,
including illness, death in the family, accident, requirement to appear in
court, etc. The student must notify the Math office and the Instructor that
he/she will miss an exam. In all cases, the student must present proof for
missing the exam, e.g., a doctor's note, police report, court notice, etc., clearly
stating the date AND times.
Cellular phones: All cellular phones and beepers must be switched off
during all class times.