Modelo de regressão linear para análise de investimentos em uma empresa do ramo petrolífero

Abstract

Changes in global economic environment meant that companies, particularly publicly traded, seek adaptations to global market model, which gives preference to the analysis of stock indicators profitability. In this sense, we carried out a quantitative study, based on data published by Petrobras SA, concerning the balance sheet comprising the period 2009 to 2013. Data analysis was carried out through statistical methods of covariance, correlation and linear regression. Among the findings of the paper, we emphasize that more than prove the good relations between the good historical results, the joint techniques of statistical methods serve as warnings to indicate to managers that something is not going as expected, thus helping the decision to promote a change in internal company policies, specifically in the way of investment allocation.