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 ...

A generalization of Sliced Inverse Regression to functional regressors was introduced by Ferré and Yao (2003). Here we first address the issue of the identifiability of the Effective Dimension ...

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 ...

Regression analysis refers to a method of mathematically sorting out which variables may have an impact. The importance of regression analysis for a small business is that it helps determine which ...

Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation Inflation targeting (IT) has gained much traction over the past two decades, becoming a framework of reference for the ...

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 ...