In this paper, the authors measure, with the help of a multiple regression model, the links between the value of GDP, as resultant variable, and as factorial variables, the overall value of properties, the value of agricultural terrains, inide terrains and infrastructure. The model is applied...

Starting from the non-linear single factorial models, authors approach the linear regression model topic, by explicating the parameter estimation methodology, test of properties for the estimators of the regression model and the conditions for the use of regression in forecasting. The...

In this paper, the authors measure, with the help of a multiple regression model, the links between the value of average social insurance pension, as resultant variable, and as factorial variables, gross average salary, annual inflation ratio and the annual evolution of GDP. The model is applied...

The authors analyze the relationships existing between the parameters of the reciprocal lines, defining, determining and interpreting the notions of estimators, regression line slope quotient, free terms of the regression line.

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...

This study approaches, from the theoretical viewpoint, the multi-factorial regression method as tool in the analysis of links establishing between indicators in economy, the conditions in which all the other factorial variables remain constant. Starting from the reality that the equation of...