|Instructor:||W. Joel Schneider|
|Office hours:||Mondays & Wednesdays 11am–noon, and by appointment|
Keith, T. Z. (2015). Multiple regression and beyond (2nd ed.). New York: Routledge.
Fox, J. (2016). Applied regression analysis & generalized linear models (3rd ed.). Thousand Oaks, CA: Sage.
Fox, J. & Weisberg, S. (2011). An R companion to applied regression (2nd ed.). Thousand Oaks, CA: Sage.
The midterm and final exams will involve a closed-notes portion in which no computer will be allowed and an open-notes portion in which a computer will be required.
All pass/fail assignments must be passed to receive a grade in the course. With instructor permission, failed assignments may be attempted a second time.
|Homework Exercises||400 points|
|Midterm Exam||300 points|
|Final Exam||300 points|
Grades are assigned in the traditional manner.
If you need a special accommodation to fully participate in this class, please contact Disability Concerns at 438-5853 (voice), 438-8620 (TDD).
Plagiarizing and cheating on exams and other assignments are not tolerated. Any student exhibiting academic dishonesty will receive an F in the course and will be referred for disciplinary action. Disciplinary action may include expulsion from the university.
The best way to reach me is by email or in person, before or after class. I do not check my office telephone messages nearly as often as I check my email. I may, from time to time, email you about various matters.
|1-13||Introduction to RMarkdown
In-class Exercise 1
|MRAB Ch. 1
ARAGLM Ch. 1
RCAR Ch. 1
|1-20||In-class Exercise 2|
In-class Exercise 3
In-class Exercise 4
In-class Exercise 5
|MRAB Ch. 2–3
RCAR Ch. 4
|2-17||Outliers and Regression Diagnostics
|MRAB Ch. 9
ARAGLM Ch. 11–12
RCAR Ch. 6
|2-22||In-class Exercise 6||MRAB Ch. 4–5|
|2-24||Homework 1 is due
|3-21||Midterm Exam||Midterm Study Guide|
|MRAB Ch. 6|
|Homework 2 (Due date 4/25 at 11:55pm)|
|3-30||Midterm Review||Optional Practice Midterm|
|4-4||Moderators & Polynomials||MRAB Ch. 7–8
ARAGLM Ch. 17
RCAR Ch. 4
|4-11||In-class Exercise 7 (Due 4/18 at 11:55pm)|
|4-25||Logistic Regression, Poisson Regression, & the Generalized Linear Model
|5-2||Final Exam (7:50–9:50)||Final Exam Study Guide|