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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
  1. Logistic Regression
  2. 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 :)