Linear regression model involves the identification of variables for defining specification for variable and model residuals; the context in which the regression model is used. Analysis of chronological (time) using a temporal function which, in essence, is also a regression, with a variable...

In this paper, the authors propose solving the problematic regarding the estimation of the parameters for the linear regression model. For this, the least squares method, the maximum likelihood method and the Gauss-Markov theorem are used. There are also presented the properties of the...

The linear correlation quotient allows us to ascertain the existence of a linear link between the variables of the regression model. This paper attempts to examine the interpretation of the residual variables through the perspective of models used.