Regression diagnostics : an introduction /
"Regression diagnostics are methods for determining whether a regression model that has been fit to data adequately represents the structure of the data. For example, if the model assumes a linear (straight-line) relationship between the response and an explanatory variable, is the assumption o...
| Main Author: | |
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| Format: | Book |
| Language: | English |
| Published: |
Thousand Oaks, California :
SAGE Publications, Inc.,
[2020]
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| Edition: | Second edition. |
| Series: | Quantitative applications in the social sciences ;
no. 79. |
| Subjects: |
Table of Contents:
- Introduction
- The linear regression model : review
- Examining and transforming regression data
- Unusual data : outliers, leverage, and influence
- Nonnormality and nonconstant error variance
- Nonlinearity
- Collinearity
- Diagnostics for generalized linear models
- Concluding remarks.