This bachelor thesis addresses the problem of appeals against house building in Gothenburg. The thesis investigates whether there is a statistically significant relationship between demographic factors and the occurrence of approved, appealed and revoked permits for new construction of residential buildings in the ten districts of Gothenburg. This is done with a correlation analysis. The report also investigates whether there is a statistically significant regression in the same demographic factors and how these individually affect the average processing time for appeals in the districts. This study is done with a multiple regression analysis.

In this study, the effects of using fine milled cassava stems as an additive in biofuel pellet production was compared to the effects of refined starch addition. The bulk biomass fuel raw material, to which the additive was added, was a blend of spruce and pine sawdust. An experimental design in the factors cassava/starch content, moisture content and material temperature was used. Measured responses were pellet bulk density, pellet durability, amount of fines, pelletizer motor current, pellet temperature, die temperature and CV for pelletizer motor current (a measure of process stability). Each response was modeled by multiple linear regression (MLR).

The LSH-study started in 2003 at the department of Health and Society at the University of Linköping. The purpose of the study was to examine the relationship between life condition, stress and health. A total of 1007 people from ten different health centres in Östergötlands län participated. At the follow up, a couple of years later, 795 of the 1007 participated. 127 of the 212 in the attrition turned down the follow up, twelve people were not invited (for example in case of death) and the rest did not respond at all.

Denna studie undersöker huruvida aktiv strategi villkorlig en diskret regression modell (DRM) skapar mervärde relativt en passiv buy-and-hold strategi i form av avkastning, risk samt variationskoefficient. Modellens metod, en binär logistisk regression, estimerar den förväntade relativa avkastningen mellan en indexfond (AFGX) samt den korta riskfria räntan (SSVX). För estimera den relativa avkastningen mellan tillgångarna använder DRM data från aktiemarknaden, räntemarknaden, obligationsmarknaden, inflationsindex samt industriproduktionsindex. Timingbeslutet görs vid varje månadsskifte och kapitalet placeras i den tillgången med högst förväntad avkastning under kommande månad med start den 1:e januari 2002 och slut den 31:e december 2005.Den empiriska diskussionen visar att mervärdet av DRM´s avkastning, risk och variationskoefficient kontra de fast viktade portföljerna uteblir. Således blir slutsatsen att DRM inte klarar av att mäta den förväntade relativa avkastningen mellan tillgångarna och den passiva strategin i denna kontext förblir ett bättre alternativ..

This paper investigates the compensation for risk in the context of the Swedish stock market with a special focus on downside risk. Using daily market data collected from the A-list of the Stockholm Stock Exchange between the years 1983 and 2005 the purpose is to answer the question whether Swedish investors are compensated for holding stocks with high downside risk, measured as downside beta. Using panel data analysis it is shown, in accordance with most previous evidence in international research, firstly that stocks with high beta values on average experience higher returns than stocks with low beta values, and secondly that stocks with high downside beta values experience higher returns than stocks with high beta values in general. On the other hand, cross-sectional regression methodology using a bivariate regression approach shows that downside beta does not explain excess returns very well. Instead, regression analysis suggest that high upside beta does a much better job in explaining excess return over this time period compared to downside beta.

Objective: In recent years there has been an increasing interest within the clinical (medical) science in measuring people?s health. When estimating quality of life, present practise is to use the EQ-5D questionnaire and an index which weighs the different questions. The question is what happens if the individuals estimate there own health, would it differ from the public preferences? The aim is to make a new prediction model based on the opinion of patients and compare it to the present model based on public preferences.Method: A sample of 362 patients with unstable coronary artery disease from the Frisc II trial, valued their quality of life in the acute phase and after 3, 6 and 12 months.

Målet med den här studien är att undersöka hur barn under 15 år påverkades av Cryptosporidiumutbrottet i slutet av år 2010 i Östersunds kommun. Datamaterialet utgörs av svar på en enkätundersökning från 514 barn rörande deras hälsa relaterad till utbrottet. Dessa enkäter togs fram av svenska Smittskyddsinstitutet kort efter utbrottet och det är i uppdrag av denna myndighet som studien utförs. Analys av riskfaktorer och följdsymptom utförs med logistiska regressionsmodeller utifrån både ett Bayesianskt och ett frekventistiskt tillvägagångssätt för att på så sätt betrakta datamaterialet från fler synvinklar och samtidigt identifiera skillnader mellan dessa två tillvägagångssätten. En annan del av arbetet presenterar bortfallskalibrerade skattningar av antalet Cryptosporidiumfall både totalt och månadsvis men också skattningar av fallprevalensen i olika redovisningsgrupper.

Syftet med uppsatsen är att undersöka om det går att förutse vilka företag som kommer att bli uppköpta. Anledningen till detta är att investerare då kan använda denna vetskap och investera i de företagen och därigenom maximera sin vinst. Vi har med hjälp av Datastream samlat finansiell data om 132 bolag på Stockholmsbörsen. Därefter har en multipel logistisk regression gjorts, som underlag för att bedöma prognostiserbarheten för uppköp. Utgångspunkt har främst tagits i liknande studier genomförda utomlands.

How do we perceive literature? In our times computer games and Internet have made us grow more comfortable to the usage of non linear storylines. But how does this apply to printed literature?In this essay, called ?From a to b through d h and o. Non linear storytelling in our time? I have focused on nonlinear literature from different time periods and I have studied novels such as James Joyce?s Ulysses as well as works by William S.

In modern industrial robots the components in the transmission contain nonlinearities. These nonlinearities need to be to estimated either for better control or to use the parameters for diagnosis of the system. There is a lot of work done within system identification and mainly within the field of iterative parameter estimation.This thesis considers recursive grey-box identification for a nonlinear model of the transmission in an industrial robot. The nonlinearities that are identified are friction, spring stiffnes, hysteresis and backlash. These nonlinearities are a part of the models that are presented in this thesis.

The aim of this thesis is to investigate the correlation between the price of electric power and investments within the Swedish basic industry. Using regression analysis, the authors test for correlation between the electricity prices and the basic industry, defined as the pulp and paper industry, the mining industry, the steel and metal industry and the basic chemical industry. Moreover, five variables found in the literature on investment decisions are being used as a means of comparison. The results suggest that the electricity price affects the investment decisions within the basic chemical industry as well as the steel and metal industry. On a more abstract level, this thesis contributes to the understanding of one of the properties of the Swedish GDP..

What affects Hiv in South Africa's different provinces? This thesis examines if education, unemployment rate, GDP per capita, and the literacy rate has any relationship with the Hiv prevalence. This is analyzed using theory and data in the form of a simple microeconomic model and an econometric regression analysis based on cross sectional data of the provinces of South Africa. The regression analysis shows that unemployment rate and education have significant effects of the Hiv prevalence in South Africa. The microeconomic model in the thesis indicates that when education is higher, individuals are more aware that the probability of being infected by Hiv is higher when the Hiv prevalence is high.

This study investigates whether auditors affect the tendency to report correct taxes for small companies. Since November 2010 the smallest companies in Sweden are no longer obliged by law to have an appointed auditor to perform the former yearly audit. The auditor shall during the audit, amongst other tasks, investigate whether the audited companies follow Swedish law, and report them if they do not. The presence of the auditor might influence the actions of companies to act according to law, and reduce errors in the reporting. Errors regarding tax reporting will result in a revised tax decision if detected by The Swedish Tax Agency.

Denna uppsats behandlar de relativa prisökningar som skett för snusprodukter i Sverige och vill undersöka om dessa har lett till minskad efterfrågan som nationalekonomisk teori föreslår. Utifrån teori och tidigare forskning har en efterfrågemodell konstruerats för att möjliggöra en statistik undersökning.Variablerna som ingår i modellen är inhämtade från Statistiska centralbyråns prisenhet och Swedish Match AB och inkluderar prisuppgifter för varor, försäljningsstatistik och disponibel inkomst under tidsperioden 1999-2009.Resultaten från regressionsanalyser för tidsseriedata visar på att de ökade priserna har haft en negativ inverkan på efterfrågan på snus under den gällande tidsperioden, men att denna effekt varit förhållandevis liten..

 This paper is made on behalf of Statistics and Research Åland, ÅSUB. The aim is to explain the turnover for companies in Åland, with appropriate variables. The main study variables are variables that consist of the Swedish and Finnish activity indices. The study variables also include variables which consist of tourists from Sweden and Finland and the introduction of the Euro in Finland. The data used is from the period January 1996 to June 2008.Different regression models for the turnover are tried and explanatory variables are selected by use of stepwise regression, backward elemination and forward selection. The final model includes activity indices for Sweden and Finland, the introduction of the Euro, tourists from Finland and an autoregressive component of order one .