Regression-Analysis-with-R

My homework solutions (in R) of the Ph.D. level statistics course (STAT 608) at Texas A&M University.

Reference Book : A Modern Approach to Regression with R by Simon J. Sheather

Topics covered:

1. Simple Linear Regression
2. Diagnostics and Transformations for Simple Linear Regression
3. Weighted Least Squares
4. Multiple Linear Regression
5. Diagnostics and Transformations for Multiple Linear Regression
6. Variable Selection

• R^2
• AIC, AIC_c, BIC
• All possible subsets
• Stepwise (Backward Eimination, Forward Selection)
• LASSO

7. Logistic Regression
8. Serially Correlated Errors (AR(1) Models)

The solutions are written in LaTeX and given in pdf format. All the codes are generated in R programming language. I believe there are imperfect answers; thus, some of them needs to be improved, since this course was my first encounter with R and Statistics :)