Application of the analysis of simple linear regression to estimate the prices of the shares of Facebook, Inc

Authors

DOI:

https://doi.org/10.5377/reice.v5i10.5535

Keywords:

Simple linear regression, independent variable, dependent variable, coefficient beta, typical errors

Abstract

The linear regression analysis, is a tool that is extremely important in the world of finance, since it allows to carry out projections and forecasts of a dependent variable that is explained by one or more independent variables.  The objective of this study was to determine an equation that would allow to estimate the average monthly price of the shares of the company Facebook, Inc., through a simple linear regression model.  The betas for the model coefficients were significant for the descent, measured through statistical test both constant t. Likewise, global test of significance of the beta coefficients, determined through statistical test F, this proved to be highly significant, which allowed the validation of the model

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Published

2018-01-10

How to Cite

Brenes González, H. A. (2018). Application of the analysis of simple linear regression to estimate the prices of the shares of Facebook, Inc. Revista Electrónica De Investigación En Ciencias Económicas, 5(10), 133–155. https://doi.org/10.5377/reice.v5i10.5535

Issue

Vol. 5 No. 10 (2017): July - December

Section

Academic Articles

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