For the dependent variable, use Personal Consumption Expenditures

Introduction
Some of the factors that contribute to the calculation and the evolution of Gross Domestic Product are private consumption
and public consumption. Private and public consumption are two of the components of final consumption. We have used
previous studies and economic analysis by applying econometric methods to realize our study for the correlation
between main factor, that is final consumption and its two independent factors, private andpublic consumption. Anghelache
(coord.,2014) approached the use of econometric models in macroeconomic analysis in calculating and forecasting
macroeconomic indicators. The basis of statistical and econometric instruments and concepts were provided by
Anghelache (2008), Voineagu et al (2007). Multiple regression analysis is a great statistical technique able to estimate the
relationship among two or more variables. (Anghelache et al. 2014) offers a number of advantages compared to
unifactorial alternative because it is conducted under the assumption of the simultaneous action of several important
factors and it generates information on the structure of the process by quantifying causal links thus increasing
determination ratio, numerically expressed by its proximity to 1 (or 100%) and offers a more accurate description of the
economic process.
According to Anghelache et al 2014 a significant argument in using multiple linear regression can be considered to
be the high enough value of free that could be specific to be encountered in single factor approaches, where the main
indicator keeps its role as dependent variable and the influence factors become, in turn, independent variables in
distinct, dedicate models. In this paper, we give a model of the multiple linear regression to make a prescription of
economic development in Albanian economy. The data have been derived from World Bank, Eurostat and INSTAT for a
period approximately for ten years. Lami.E, Kächelein.H, Imami. D (2014) have been conducting previous studies related

to consumers’ expectations before elections, the main factors underlying expectations, and the way in which these


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