Regresar

Determination of pbkp_redictive models for the indicators of competitiveness of the level microeconomic applying linear regression

Abstract:

This research determines the levels of competitiveness of companies through the implementation of a Data Science technique, the technique used is the linear regression applied to the data collected from the most relevant productive and accounting operations of the companies. The results show the levels of competitiveness of the companies formed by each of the indicators studied. Through the application of linear regression, the data models are obtained and the dependent variables are pbkp_redicted for each competitiveness indicator.