@article{article_330911, title={ECONOMETRIC ANALYSIS OF THE IMPACT TO THE GDP (GROSS DOMESTIC PRODUCT) OF THE NON-OIL SECTOR IN AZERBAIJAN’S ECONOMY}, journal={Ordu Üniversitesi Bilim ve Teknoloji Dergisi}, volume={7}, pages={1–10}, year={2017}, author={Maden, Selahattin and Shamılova, Bahar G.}, keywords={Multiple regression model,Generalized least squares estimation,Non-oil sector}, abstract={<p class="MsoNormal" style="margin-bottom:0cm;margin-bottom:.0001pt;text-align: justify;line-height:normal;tab-stops:9.0pt"> <span lang="AZ-LATIN" style="font-size: 12pt; font-family: "Times New Roman", serif;">In this paper we establish a linear relation using multiple linear regression model between the gross domestic product (GDP) by industry, agriculture, forestry and fishing, construction, transport. Drinking determinasiya source model is used to check whether there were adequate. Then the value of the model is verified. F-Fischer and the statistical distribution of the prices found in comparison to the actual price. Mathematical calculations were used batch STATISTICA program. <o:p> </o:p> </span> </p>}, number={1}, publisher={Ordu Üniversitesi}