Econometria: modelos de regressão no estudo de variáveis econômicas de Araguaína-To

Abstract

This monograph uses regression models to present an Econometric study of GDP values in the municipality of Aragua ́ına-TO. The study aimed to understand, through regression analysis, the

degree of relationship that exists between two or more variables that make up the main compo- sition (agriculture, services and industries) of GDP in the city of Aragua ́ına-TO, according to

data organized by SEPLAN. For this purpose, the simple linear regression and multiple linear regression models are presented in order to find the equation of the regression line that best explains the sample values, and that through this it becomes possible to assume predictions for

the study. As for the method, the research has a deductive and exploratory bibliographic cha- racter, enabling a quali-quanti study. The results pointed out that changes made in these sectors

directly influence the final calculation of this economic indicator, if there is an increase as a

result of the direct relationship, the GDP grows and if there is a decrease, the GDP will also de- crease, thus stating that the regression models have tools for interest in the study of economics,

contemplating the objective of this study.