If customers respond differently to a campaign, it is worthwhile to find those customers who respond most positively and direct the campaign towards them. This can be done by using so called incremental response analysis where respondents from a campaign are compared with respondents from a control group. Customers with the highest increased response from the campaign will be selected and thus may increase the company?s return. Incremental response analysis is applied to the mobile operator Tres historical data.

För alpina skidåkare mäter man prestationer i så kallad FIS-ranking. Vi undersöker några metoder för hur man kan analysera data där responsen består av ranger som dessa. Vid situationer då responsdata utgörs av urval av ranger finns ingen självklar analysmetod. Det vi undersöker är skillnaderna vid användandet av olika regressionsanpassningar så som linjär, logistisk och ordinal logistisk regression för att analysera data av denna typ. Vidare används bootstrap för att bilda konfidensintervall.

Predicting corporate failure is an increasingly important topic in the world of economics today. This paper, with the help of the credit ranking company Syna AB, aims to investigate a few different statistic strategies to do just that. This task is accomplished by using a data material of 250 000 Swedish companies divided into two subsamples. The first sample is used to develop the model and the second as a validation sample. The model developing sample holds 160 000 companies divided into five different subgroups based on size and age.

The use of marketing research panels are a more and more frequently used source of information for studies within many different branches. The purpose of this report is to investigate the demographic composition of panels and compare it with the population of Sweden, a possible change in behaviour of respondents, and if the source of recruitment is the cause of possible differences in study results. The study was commissioned by Norstats Linkoping office. Sources for the data material include Norstat?s recruitment process and their two main panels with different recruitment sources.

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.

En gren inom statistikteorin är den så kallade Regressionsanalysen där man studerar hur data från exempelvis ett stickprov kan anpassas till en graf. Skrivandet av denna uppsats har haft som syfte att studera några av de metoder som finns att tillgå vid bestämning av de ingående parametrarna i de enklare fallen av regression. Dessutom ges i de avslutande kapitlen exempel på den del inom regressionsanalysen som kallas Styckvis Linjär Regression eller Piecewise Linear Regression..

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 aim of this thesis is to examine the properties of the municipalities in Sweden that influence the choice of being a certified Fairtrade city. The independent variables which are used in the statistical analysis are municipal governance, local tax rate, whether there is an university and/or university college in the municipality, average income and higher education in the municipality. The variables are examined by logistic regression. Since there are no statistical data on ethical procurement, this exogenous variable isn?t included in the regression.

Objective: The study will investigate whether cash liquidity have a negative affect on profitability and share value of companies, listed on Nasdaq OMX Stockholm 2008-2011. Part of the purpose is also to show if the industry risk is of importance for treasury management of these companies.Method: The methodology for the study is key analysis through hypothesis testing and Regression analysisConclusion: The liquidity ratio affects profitability in a negative direction on the entire sample. No other conclusion can be drawn..

The aim of this thesis is to examine the properties of the municipalities in Sweden that influence the choice of being a certified Fairtrade city. The independent variables which are used in the statistical analysis are municipal governance, local tax rate, whether there is an university and/or university college in the municipality, average income and higher education in the municipality. The variables are examined by logistic regression. Since there are no statistical data on ethical procurement, this exogenous variable isn?t included in the regression.

The purpose with this thesis is to analyse different factors that can explain district heating prices for energy companies in Sweden. We are further interested in examining if the prices is affected by the use of industrial waste heat in their production and the company?s ownership structure. The method applied is a multiple Regression analysis using a panel data set of 50 companies over 5 years (2008-2012). The data used is yearly data obtained from the Swedish district heating association.

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.

I uppsatsen kommer potentialen att prognostisera utfallet i svenska riksdagsval med logistisk regression och Seemingly Unrelated Regression (SUR) att undersökas. Estimeringarna baseras på svensk valdata från 1973 och framåt. Modellerna inkluderar makroekonomiska variabler såväl som indikatorer över de regeringens popularitet samt en tröttnadsvariabel. Resultaten tyder på att varken logistisk regression eller SUR är lämpliga att använda för prognostisering av svenska riksdagsval. Logistisk regression kräver en sådan förenkling av det politiska landskapet att några meningsfulla slutsatser är svåra att dra.

Our social lives and where we live shape our choices in life. One of those choices is which party we vote for in the general election. The aim of this thesis is to see if there are any connections between the Swedish general election of 2010, demography, socioeconomic factors and geography. This is done with Regression analysis and chosen variables. Another aim is to see where in Sweden the chosen variables aren?t enough to explain the results of the election.

The purpose of the thesis is to investigate whether a higher income make individuals more likely to exceed the speed limit. In addition to income the variables age, sex, perception of the speed of the average driver and offense history for the last three years are taken into account.The method used is based on a survey performed at the mandatory annual motor-vehicle inspection (Bilprovningen). 177 individuals were asked to participate, of these, 124 completed the survey which in turn left us with 117 usable observations.The analysis is based on two forms of regression, a linear regression and an ordered logit regression to confirm the results for the ordinal data.The final model indicates a result where income and age are statistically significant. Sex is considered insignificant for our data material and is excluded from the model. Age has a negative effect on the propensity to exceed the speed limit while income has a positive effect.