**Review of Linear Regression**

Presentation

R Code

Description of Talk

**Install R **

To get started using R you can download it from http://cran.r-project.org/

Complete instructions for downloading R and installing it on eclipse are here: To run R on Eclipse

**Reading Material **

To understand the mathematics behind linear regression check out these slides: MultivariateLinearRegression.pdf

To understand why you need to normalize the data before the regression: RidgeBiasDiscussion.txt

PredictionErrorvsModelComplexity This chart is from the Elements of Statistical Learning text book

Ridge Regression Section 3.4.1 on page 61 of the :

"The Elements of Statistical Learning - Data Mining, Inference, and Prediction" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman. http://www-stat.stanford.edu/~tibs/ElemStatLearn

Regression(stats315a).pdf

PracticalRegression_R.pdf

**Examples to Run **

Here are some examples you might find interesting:

SimpleRegressionExample.R problem statement this is a ridiculously simple example

sonar_regress_crossval.R example using cross-validation

RidgeRegSonarData.R example of Ridge Regression

**Data to Download**

Data Required for these programs

sonar_test.csv

sonar_train.csv

Data for Camp Example

winequality-red.csv

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