Zone d'identification |
| Cote: | PP 1060/H0-7/22 |
| Titre: | M. S. Lewis-Beck. "Applied regression : an introduction", Beverly Hills : London: Sage, 79 p. |
| Dates: | 1980 |
| Période de création: | 01/01/1980 - 31/12/1980 |
| Niveau: | Pièce |
| Importance matérielle: | 1 volume imprimé |
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Zone du contenu et de la structure |
| Contenu: | 1. Bivariate regression : fitting a straight line. 1.1. Exact versus inexact relationships. 1.2. The least squares principle. 1.3. The data. 1.4. The scatterplot. 1.5. The slope. 1.6. The intercept. 1.7. Prediction. 1.8. Assessing explanatory power : the R2. 1.9. R2 versus r. 2. Bivariate regression : assumptions and inferences. 2.1. Confidence intervals and significance tests. 2.2. The one-tailed test. 2.3. Significance testing : a rule of thumb. 2.4. The prediction error for Y. 2.5. Analysis of residuals. 2.6. The effect of safety enforcement on coal mining fatalities : a bivariate regression example. 3. Multiple regression. 3.1. The general equation. 3.2. Interpreting the parameter estimates. 3.3. Confidence intervals and significance tests. 3.4. The R2. 3.5. Predicting Y. 3.6. The possibility of interaction effects. 3.7. A four-variable model : overcoming specification error. 3.8.The multicollinearity problem. 3.9. High multicollinearity : an example. 3.10. The relative importance of the independent variables. 3.11. Extending the regression model : dummy variables. 3.12. Determinants of coal mining fatalities : a multiple regression example. 1.13. What next ? |
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Zone des conditions d'accès et d'utilisation |
| Règles d'accès: | Libre. |
| Langue: | Anglais |
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Zone des notes |
| Notes: | Sage university paper. 7, Quantitative applications in the social sciences |
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URL vers cette unité de description |
| URL: | https://davel.vd.ch/detail.aspx?ID=1275904 |
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