Data Science and Analytics

Regression Analysis

We use regression analysis to estimate relationship among data variables. Regression models are instrumental to find relationship between dependent/output variable and one or more independent variables. If this relationship is meaningful, it can be used for forecasting or prediction of output variable against given values of independent variables.

Our team masters in most familiar to advanced regression methods, i.e. linear regression, ordinary least squares regression, logistic regression and multiple regression models. Before apply any method, we carefully examine data generating process and underlying assumptions.

Tools and Technologies

Simple linear regression, least squares regression, logistic regression, multiple linear regression
R, SAS, SPSS, Python, Matlab, Octave, C/C++, Perl