TAMU STAT608 Regression Notes By Topic
Howdy!
I'm a student at Texas A&M University's M.S. Analytics Program at May's Business School in the Houston CityCentre. We're a 5-semester, part-time, cohort based program for working professionals that holds synchronous online courses on Tuesdays and Thursdays 18:00 - 21:00 CST.
These are just my best attempt at problems based on the following topics listed in our syllabus using SAS JMP 14. These topics most closely follow A Modern Approach to Regression with R by Dr. Simon Sheather. Please note that these exercises are just for my own practice, therefore they are done by a student and have not been reviewed.
Topic list:
- Simple Linear Regression (i.e., straight line model)
- Diagnostics for simple linear regression
- Transformations
- Weighted least squares
- Multiple regression
- Diagnostics for multiple regression
- Model selection and prediction
- Linear regression splines
- Logistic regression
- Poisson regression
- Models with serially correlated errors
- Bayesian approaches to regression and logistic regression