Spatial statistics: Types of spatial dependence II
Recording date: Jan 21, 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.
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: Ángeles SaavedraDepartamento Estatística e investigación operativa, University of Vigo
