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Advanced regression and multivariate analysis III

Date of holding: 15/01/2020

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Covariance and correlation. Simple correlation, partial correlation, multiple correlation. The multiple linear regression model. Interpretation of the model. Estimation of the model and hypothesis testing. Explained and residual variance. ANOVA table. Multiple R squared. Adjusted R squared. Residuals and residual analysis. Variable selection: extra sum of squares. Log-linear regression. Polynomial regression. Model with interaction. Prediction.

Jacobo de Uña
Professor, University of Vigo
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