| Description |
1 online resource (ix, 226 pages :) : illustrations |
| Contents |
An Introduction to the linear regression model -- The least-squares estimation method : fitting lines to data -- Model performance and evaluation -- Multiple regression analysis -- Nonlinear and logarithmic models, and dummy and interaction variables -- Time variables and panel data : a simple introduction -- Some common problems in regression analysis -- Where to go from here |
| Summary |
Using a friendly, non-technical approach, the second edition of 'Regression Basics' introduces readers to the fundamentals of regression. Accessible to anyone with an introductory statistics background, this book builds from a simple two-variable model to a model of greater complexity. Author Leo H. Kahane weaves four engaging examples throughout the text to illustrate not only the techniques of regression but also how this empirical tool can be applied in creative ways to consider a broad array of topics |
| Bibliography |
Includes bibliographical references (pages 220-221) and index |
| Subject |
Correlation (Statistics)
|
|
Regression analysis.
|
| Form |
Electronic book
|
| ISBN |
1452245118 |
|
9781452245119 |
|
9781483385662 (electronic bk.) |
|
