Linear Regression using R. An Introduction to Data Modeling

✍ Scribed by David J. Lilja

• Publisher: University of Minnesota
• Year: 2016
• Tongue: English
• Leaves: 82
• Category: Library

✦ Table of Contents

Contents......Page 6
Introduction......Page 8
What is Linear Regression Model......Page 9
What is R......Page 11
What’s next......Page 13
Missing Values......Page 14
Sanity Checking & Data Cleaning......Page 15
Example Data......Page 16
Data Frames......Page 17
Accessing a Data Frame......Page 19
Visualize the Data......Page 23
The Linear Model Function......Page 25
Evaluating Quality of the Model......Page 26
Residual Analysis......Page 30
||Visualizing the Relationships in the Data......Page 33
Identifying Potential Predictors......Page 35
Backward Elimination Process......Page 38
Example of Backward Elimination Process......Page 39
Residual Analysis......Page 46
When Things go wrong......Page 47
Data Splitting for Training & Testing......Page 56
Training & Testing......Page 58
Predicting across Data Sets......Page 61
Reading Data into R Environment......Page 66
Reading CSV Fles......Page 67
Summary......Page 71
Few Things to try next......Page 74
Biblio......Page 77
Index......Page 79