I denna uppsats tillämpas multipel regressionsanalys med syfte attpredikera huspriser i Falun. Data som består av dels priset vid ett antalhusförsäljningar och dels ett antal eventuellt samvarierande förklarandevariabler analyseras. Två lämpliga, modeller som på ett så precist ochenkelt sätt som möjligt förutsäger en kommande försäljning av ett hus tasfram. I den första finns en mäklarfirmas utropspris med som förklarandevariabel i den andra inte. Prediktionsförmågan för de båda modellernablir inte användbar i praktiken men bättre då utropspris finns med.

A group of scientist, called the council of democracy in Sweden made a Predictionabout members of political parties, in 2013 members should not exist. In this essaythat statement going to be questioned. It shows that most of the political parties losesmembers in Sweden. The only differences from year 2000 and now is that in 14 yearsthe parties has lost 65000 members, between 1991-1999 it was about 220000members. Something has changed.

Undersökningen syftar till att jämföra två olika urvalssystem för officersprogrammet. För detta syfte ställs det gamla respektive det nya urvalssystemet mot kadetternas studieresultat. Urvalskriterierna till dessa urvalssystem korreleras mot studieresultatet i en korrelationsmatris. Därefter undersöks de uppmätta sambanden medelst semi-partiala korrelationsmått och konfidensintervall. Detta skapar belägg för att det föregående urvalssystemet var effektivare än den nya för att välja ut kadetter med förmåga att tillgodogöra sig utbildningen.

ABSTRACTThe aim of this study was to examine the relationship between job satisfaction, birth order and sensation seeking. The sample consisted of 179 jobholders in four different organizations in southern Sweden, with an average age of 44 years (SD = 12,12). A questionnaire consisting of three parts was used to map out and measure the participants? family background, birth order, job satisfaction and sensation seeking. The study showed no significant relationship between birth order and job satisfaction (p = 0,127).

A group of scientist, called the council of democracy in Sweden made a Predictionabout members of political parties, in 2013 members should not exist. In this essaythat statement going to be questioned. It shows that most of the political parties losesmembers in Sweden. The only differences from year 2000 and now is that in 14 yearsthe parties has lost 65000 members, between 1991-1999 it was about 220000members. Something has changed.

Managing credit risk might be the single most important business area for any commercial bank. The assessment of "good" and "bad" corporate clients is a important task for a creditor. A bad debtor is a corporate client with hardships in meeting the continous claims (interest payments) that a creditor requires. One way of evaluating or separating a "bad" client from a "good" client is to assess the propensity for the client to file for bankruptcy. This thesis examines 226 firms in the Swedsh market in the quest of predicting corporate bankruptcy.

The emphasize of this study is to evaluate security issues for home users having a personal computer connected to the Internet. It focus on the usage of advantages and disadvantages when using a firewall while connected to the Internet. The hypothesis is that it gives a better protection to install and use a firewall compared not to do so, due to security flaws in the operating system. The Prediction was tested on a home user's personal computer. The testwork was divided into two major tests, each of them performed with, respectively without, a firewall. These major tests were divided into five smaller semi­ tests. The first semi­test without a firewall suffered from a virus or worm attack resulting in loss of data and log files.

The emphasize of this study is to evaluate security issues for home users having a personal computer connected to the Internet. It focus on the usage of advantages and disadvantages when using a firewall while connected to the Internet. The hypothesis is that it gives a better protection to install and use a firewall compared not to do so, due to security flaws in the operating system. The Prediction was tested on a home user's personal computer. The testwork was divided into two major tests, each of them performed with, respectively without, a firewall.

The purpose of this Bachelor thesis is to analyze if there is a correlation between stock prices and the amount of searches of the companies names on Google. The theories used in the study were Capital Asset Pricing Model (CAPM) and Efficient Market Hypothesis (EMH). Regressions analysis is used as the statistical method to see if there is a significant correlation between the stock prices and the amout of searches of the company name on Google. The data used were the rate of return of three companies (ABB, Oriflame and Sandvik) on the Nasdaq OMX Nordic stock market, the rate of return of the Nasdaq OMX Nordic stock market index (OMX Stockholm_PI) and the Google search frequency from Google Trends on each company. The result showed no significance and the conclusion of the thesis is that there is no significant correlation between the three studied companies and their search frequency on the search engine Google..

Prior research on the ability of financial ratios to predict bankruptcies has shown a significant difference between the companies that went into bankruptcy and those that survived. This paper investigates whether there is a difference in the Prediction ability of financial ratios during the last financial crisis compared to relatively normal macroeconomic environments in which most previous studies have been conducted. We use univariate analysis to compare companies that went into bankruptcy during 2010 and 2011 with companies that remained active. Our dataset consists of 51 failed companies that are matched with 102 companies that remained active. All companies were Swedish limited companies with more than 50 employees and the comparison is made with 26 financial ratios.

We have by Statistics Sweden (SCB) been given the task of using different dynamic regression models in order to forecast service price index for sea transport. The aim is to see whether these models provide better forecasts than those previously used. This essay aim to identify, estimate and evaluate the selected Prediction models. Through our data material we were given access to 28 sightings of sea transport index during the period of 2004 q1 to 2010 q4. We have chosen to evaluate three different transfer function models, one ARIMA model and one naive forecasting model. The input variables we decided to test in our transfer function models were the price of petroleum products, the port activity in Swedish ports and the lending rate of Swedish Central bank. The results of our study suggest that transfer function models generally provide better models than the ARIMA model and the naive forecast model.

Forecasting is an important part in attempting to predict how companies will perform in the future. The more accurate the Prediction, the more valuable are the results obtained from the forecast. This thesis aims to investigate forecasts of return on equity, and whether a disaggregation of the leverage formula into its underlying components affects the forecasting ability positively. This is conducted by comparing a model based on the leverage formula's components with a model solely based on return on equity from previous years. The study includes manufacturing companies on the Swedish Stock Exchange over the period 1998-2011.

The present study tested the Prediction that male offenders are judged more harsly than female offenders for involving in a violent crime. Three-hundred and fifty-four adult students (163 men, 190 women, 1 unspecified gender) evaluated a hypothetical crimescenario describing a violent conflict between two parties, as part of a 2 (Informants Gender: Male/Female) x 3 (Offender Gender Triad: Male/Female/Neutral) x 3 (Victim Gender Triad: Male/Female/Neutral) between-subjects design. In situations involving male offenders, compared to female offenders, the informants judged the male offenders more harshly which exposed a double standard, as we expected. Informants also believed that it was more likely that a male offender was a recidivist..

The purpose of this study is to investigate the proposed leasing standard's potential effects on stakeholders' financial key ratios and estimated bankruptcy risk via Prediction models based on accounting ratios. This is achieved by adjusting the financial statements in accordance with the three most widely used ways of dealing with operating leases at date; capitalizing using a multiple, capitalizing through a present value method and to not adjust for them at all. Since the discounted method is said to reflect the proposed standard the closest, this version will be compared against the two other versions. The research is based on Nordic retail companies due to their high share of leases. The study shows that the unadjusted key ratios and estimated bankruptcy risks tend to be too low and would therefore deteriorate in combination with the new standard, when again the multiple method results in too weak key ratios and high estimated bankruptcy risk and would therefore tend to improve in combination with the new standard.

Public opinion has increasingly become a political force in the European integration process. At present, it appears that the people?s attitude towards the European integration is relatively skeptical. How can we expect that the attitude towards European integration will evolve in the future? This paper tests the extent to which diffusion theory can serve as a model to explain the development of attitudes to European integration policy in Sweden from 1999 until 2009.