Analys av bostadsrättspriset i Stockholms innerstad
En multipel linjär regression
In this study a multiple linear regression was carried out in the interest of analysing a number of variables effect on the final prices of apartments in Stockholm?s inner districts. The result may be employed to predict and observe percentage changes on the final price of apartments in Stockholm in the future. Five models were constructed after which they were analysed and compared. The construction of these models were supported by data from the real estate agency Erik Olsson. The result of this study displays that living space have the highest positive influence on the final prices. Among all the inner city districts, Östermalm is the district that contributes the most to the final price growth. All five models had a coefficient of determination between 89%-94%.