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… methods that have been used during the making of this report are multiple linear regression, binary logistic regression, correlation analysis, association analysis and descriptive statistics as well as visual analysis. The results of the study show that women around menopause …
… correlation between total phosphorus and turbidity (R2adj=0.879, P<0.01, linear regression). Water color was not correlated with total phosphorus. A multiple regression with turbidity and water color as independent variables resulted in a slightly improved model (R2adj = 0,886) …
… correlation between total phosphorus and turbidity (R2adj=0.879, P<0.01, linear regression). Water color was not correlated with total phosphorus. A multiple regression with turbidity and water color as independent variables resulted in a slightly improved model (R2adj = 0,886) …
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 …
… COD och TOC in från olika svenska bruk. Serierna analyserades med hjälp av regressions- och korrelationsanalys, för att sedan jämföras med medelvärdet av brukens COD/TOC faktorer (omvandlingsfaktorer). Studien innehöll även en del där information om analyser, förbehandlingar och …
… on the nature of the group threat: realistic and symbolic. The results of the linear multiple regression analysis show positive significant associations between EU identity and the perception of Russia as a group threat to the EU among individuals in CEE. The results demonstrate …
… cats the difference had a tendency to increase with increased pressures. Using linear regression the coefficients of correlation between the two methods were 0,63 for the dogs and 0,79 for the cats. The coefficients of variation were 4,2-7,4% for the oscillometric method and …
en studie av realsocialistiska länder
… as starting point current positions in academia, and econometrical with the linear regression model. We show that while economic policy variables of inflation, economic freedom and institutional quality affect economic growth, the results are not only the ones predicted by the …
… and inherent nature of hedge funds. We employ a multiple unconditional linear regression model wherein 23 Swedish hedge funds are regressed on 10 style indices. In addition to the increased interest in hedge funds and their performance drivers, our unique approach with …
… they consumed. By using data from the enterprise information system and simple linear regression a capacity calculation model was developed to calculate the amount of staff needed given a specific production and delivery rate.
… or inefficiency respectively were based on the market model, establishing linear relationship between the return on the market and the return on an individual security. The parameters of the model were obtained through regression analysis.
Stiftelserna som bildades ur de forna löntagarfonderna
… performance of these foundations measured as the intercept, Jensen’s a, in a linear regression of the excess returns of a portfolio versus a proxy for the market, as well as the Sharpe-ratio. Thirdly, the estimated performance measures are used to analyse possible correlation …
Om hur HIPC-initiativet påverkar korruptionsgraden i berörda länder
… must be successful in order to fulfill the goals of the initiative. A linear regression shows that countries that have benefited from the HIPC-initiative indeed have a lower corruption than other countries. A panel-data analysis shows on the other hand that no effect on …
… program SPSS. In SPSS we worked with correlation, regression and multiple linear regressions in order to get our statistical relations between atmospheric pollutants and weather conditions. Our results showed that ozone is the atmospheric pollutant that is most weather sensitive …
… the electricity price and the chosen factors has been evaluated using basic linear-, multiple- and stepwise regression analysis. As a complement to these studies, tests with differentiated variables were also conducted. The investigated factors were selected after the pre-study …
