| Description |
xx, 253 pages : illustrations ; 25 cm + 2 computer disks (3 1/2 in.) |
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3 1/2 in |
| Series |
Wiley Series in probability and mathematical statistics |
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Wiley series in probability and mathematical statistics.
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| Contents |
1. Getting Started -- 2. Simple Regression Plots -- 3. Two-Dimensional Plots -- 4. Scatterplot Matrices -- 5. Three-Dimensional Plots -- 6. Visualizing Linear Regression with Two Predictors -- 7. Visualizing Regression without Linearity -- 8. Finding Dimension -- 9. Predictor Transformations -- 10. Response Transformations -- 11. Checking Models -- 12. Assessing Predictors -- 13. Influence and Outliers -- 14. Confidence Regions -- App. A: The R-code |
| Summary |
An Introduction to Regression Graphics answers these questions and more, providing the ideas, methodology, and software needed to use graphs in regression. From simple manipulations, such as changing the aspect ratio and marking points, to more sophisticated ideas like extracting smooths or looking at uncorrelated directions in 3D plots, R. Dennis Cook and Sanford Weisberg provide step-by-step software instructions and concise explanations of how graphs can be used in almost any regression problem |
|
Understanding how a response variable depends on one or more predictor variables is a universal scientific problem. Regression analysis consists of ideas and methods for addressing this problem. Historically, regression methods have been largely numerical, with graphics playing an important but subsidiary role. By allowing informative and novel visualizations of regression data, modern computer hardware and software promise to reverse the historical roles of numerical and graphical regression methods. How shall this be done in practice? What can be learned from graphs and which graphs should be drawn? How can graphs be used to learn about fundamental features of regression problems? |
| Analysis |
Statistical analysis Use of Computers |
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Statistical analysis Use of Computers |
| Notes |
"A Wiley-Interscience publication." |
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System requirements for computer disks: Macintosh and System software (1st disk) or IBM PC and DOS (2nd disk) |
| Bibliography |
Includes bibliographical references (pages 241-244) and index |
| Notes |
System requirements for computer disks: Macintosh and System software (1st disk) or IBM PC and DOS (2nd & 3rd disks). R-code and Xlisp-Stat language needs to be loaded on hard drive. 386 or higher processor, 2MB of memory and about 2 MB free on your hard disk space; MS Windows 3.1 or higher |
| Subject |
Regression analysis -- Graphic methods -- Data processing.
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Regression Analysis.
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| Author |
Weisberg, Sanford, 1947-
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| LC no. |
94019291 |
| ISBN |
0471008397 (acid-free paper) |
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