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The objective of the course:
The objective is to broaden the student's knowledge of central statistical models with more variables and at the same time make the students capable of performing statistical analyses of connections between multiple variables. In addition, the student will learn to apply the financial methods to business economics cases as well as reflect on other people's use of statistical methods.
Course background:
Many problems within business economics and social science generally concern populations and hypotheses regarding these. Thus, the necessary analyses require the use of statistical methods in connection with the collection of information, formulation of hypotheses and the analysis of these.
The student must be able to demonstrate thorough understanding of the various methods taught, e.g. ANOVA analysis and regression analysis, as well as be able to apply the tools for relevant business economics problems.
In order to be able to carry out an appropriate econometric analysis, the student must be able to describe data material, propose a relevant statistical model and perform relevant statistical tests. Based on a concrete analysis, the student must also be able to explain whether the hypotheses are fulfilled. In addition, the student must also be able to explain what conclusion may be drawn from the statistical analysis.
THE CENTRAL ISSUES OF THE COURSE:
The course contains the following main subjects:
Multiple regression.
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Roger Bandick
Lectures supplemented with exercises.
Can be disclosed on inquiry
