Beside the model, the other input into a regression analysis is some relevant sample data, consisting of the observed values of the dependent and explanatory variables for a sample of members of the ...

Regression is a statistical tool used to understand and quantify the relation between two or more variables. Regressions range from simple models to highly complex equations. The two primary uses for ...

Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation This paper employs a meta-regression analysis of 473 estimates from 15 studies to take stock of the empirical literature on ...

Geographically weighted regression (GWR) is a spatial statistical technique that extends conventional regression analysis by allowing relationships between variables to vary across space. Instead of ...

Residuals are used to investigate the lack of fit of a model to a given subject. You can obtain martingale and deviance residuals for the Cox proportional hazards regression analysis by requesting ...