#Description
Mingtao Fang
This report aims to apply the computational toolkit (plus R) to reproduce a simple regression analysis. the idea is to reproduce the analysis from Section 3.1 (pages 59 to 71), of Chapter 3. Linear Regression, from the book "An Introduction to Statistical Learning" (by James et al):
http://www-bcf.usc.edu/~gareth/ISL/
Credit Source: Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani
Data Set Source - Advertising.csv
:
http://www-bcf.usc.edu/~gareth/ISL/Advertising.csv
#File Structure
stat159-fall2016-hw02/
.gitignore
README.md
Makefile
data/
README.md
Advertising.csv
eda-output.txt
regression.RData
code/
README.md
eda-script.R
regression-script.R
images/
histogram-sales.png
histogram-sales.pdf
histogram-tv.png
histogram-tv.pdf
scatterplot-tv-sales.png
scatterplot-tv-sales.pdf
report/
report.Rmd
report.pdf