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Models and methodology

Regression Predictive Models and their uses

Linear Regression

Can be adapted to wide variety of data types, including time series, cross sectional, pooled or panel data

Partial and Stepwise Regression

Measures how one independent variable and the dependent variable are related.

Logit or Probit Regressions

Allows one to predict a discrete outcome (Y/N) from a set of variables that may be continuous or discrete

Regression Splines

Allow different regression models to model data over different regions of the dependent variable

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