This repository holds the information of Course Stats 159 at UC Berkeley, fall 2016 - second homework report. This report aims to reproduce the main results displayed in section 3.1: Simple Linear Regression of the book An Introduction to Statistical Learning and perform simple linear regression analysis on the data set Advertising.
Course website: gastonsanchez.com/stat159
Project instruction: github project repository
For the purpose of reproducibility, this repository holds four separate folders that could be used for further study:
- data: contains the original
Advertising.csvdataset downloaded from - code: contains the code used to reproduce the simple regression analysis
- report: contains the author's own thoughts on
- images: contains the reproduced images
Table of Contents:
- Abstract
- Data
- Methodology
- Results
- Conclusions
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Author: Lingjie Qiao