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Lecturer(s)
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Kalvas František, PhDr. Mgr. Ph.D.
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Course content
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simple correlation and regression multiple correlation and regression regression diagnostics data visualization
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Learning activities and teaching methods
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Skills demonstration, Task-based study method, Textual studies, Lecture, Seminar
- Individual project (40)
- 38 hours per semester
- Contact hours
- 52 hours per semester
- Preparation for formative assessments (2-20)
- 20 hours per semester
- Preparation for comprehensive test (10-40)
- 20 hours per semester
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| prerequisite |
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| Knowledge |
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| Students should be able to read in English KSS/ZZD KSS/ASD KSS/SON |
| learning outcomes |
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| evaluate methods of data collection choose ana appropriate method of data analysis carry out analysis of own or provided data interpret results of multivariate data analysis |
| teaching methods |
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| Lecture |
| Seminar |
| Task-based study method |
| Textual studies |
| Skills demonstration |
| assessment methods |
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| Written exam |
| Practical exam |
| Skills demonstration during practicum |
| Continuous assessment |
| Project |
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Recommended literature
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Fox, John. Applied regression analysis, linear models, and related methods. Thousand Oaks : SAGE Publications, 1997. ISBN 0-8039-4540-X.
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Zeisel, Hans. Say it with figures. 6th edition. New York: Harper and Row, 1985.
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