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stat159-fall2016-hw02's Introduction

#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

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