ENGLISH

Linear Regression using R. An Introduction to Data Modeling

Book information

Publisher
University of Minnesota
Year
2016
Language
english
Format
PDF
Filesize
1 MB (1291477 bytes)
Pages
82\82
Time added
2019-04-19 11:15:38

Description

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

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