The authors analyze the relationships existing between the parameters of the reciprocal lines, defining, determining …

are also presented the properties of the parameters and of the estimator of the linear regression model. …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 …

estimation of the two parameters, of the methods used to test the properties of regression model estimators and of the main …A linear regression model assumes the identification of the two variables, the knowledge of the models used for the … aspects regarding the use of regression model in forecasting. …

In this paper, the authors measure, with the help of a multiple regression model, the links between the value of … ratio and the annual evolution of GDP. The model is applied with the help of Eviews software, the results thus achieved …

for the use of regression in forecasting. The methodology used in the determination of the linear model parameters, by …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 …

In this paper, the authors measure, with the help of a multiple regression model, the links between the value of GDP …, inide terrains and infrastructure. The model is applied with the help of Eviews software, the results thus achieved being …

estimation of parameters is made by numerical methods. Linear regression model is based on the series of data for the two … a model is needed. Other factors that influence the score variable are grouped in the residual. Uni-factorial nonlinear … models are linearized transformations that are applied to the variables, the regression model. So, for example, a model of …