| Teaching Staff
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| Language of Instruction |
Türkçe (Turkish) |
| Type Of Course |
Compulsory |
| Prerequisites |
Linear Algebra & Statistikal Methods 1, 2 |
| Recommended Optional Programme Component |
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| Course Objectives |
To teach Bivariate regression: Fitting Data a straight line, The Method of Least Squares, Bivariate regression: Assumption and inference, Multiple regression, Multicollinearity problem and Model selection. |
| Course Content |
To teach Bivariate regression: Fitting Data a straight line, The Method of Least Squares, Bivariate regression: Assumption and inference, Multiple regression, Multicollinearity problem and Model selection. |
| Learning Outcomes (LO) |
To teach Bivariate regression: Fitting Data a straight line, The Method of Least Squares, Bivariate regression: Assumption and inference, Multiple regression, Multicollinearity problem and Model selection. |
| Mode of Delivery |
Face to face |
| Course Outline |
| Week |
Topics |
| 1. Week |
Basic Conpets & Scatter Plot |
| 2. Week |
Simple Linear Regression Model & The Least Squares Method |
| 3. Week |
Model Assumptions, Sum of Squares, Determination Coefficient |
| 4. Week |
Confidence Intervals & Significance Tests |
| 5. Week |
Confidence Intervals & Significance Tests |
| 6. Week |
Parameter Estimations & Computing Variations by using Matrix Operations |
| 7. Week |
The Multiple Regression Model & Parameter Estimation |
| 8. Week |
The Multiple Correlation Coefficient, Statistical Inferences of The Multiple Regression Model |
| 9. Week |
Statistical Inferences of The Multiple Regression Model |
| 10. Week |
Part and Partial Correlation, The Usage of The Dummy Coefficient |
| 11. Week |
The Weighted Least Squares Method, The Examination of Excess Terms |
| 12. Week |
The Correlation Matrix, Multiple Connecitons |
| 13. Week |
Coefficient Selection Methods |
| 14. Week |
Coefficient Selection Methods & Autocorrelation |
|
| Assessment |
| |
Percentage(%) |
| Mid-term (%) |
40 |
| Quizes (%) |
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| Homeworks/Term papers (%) |
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| Practice (%) |
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| Labs (%) |
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| Projects/Field Work (%) |
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| Seminars/Workshops (%) |
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| Final (%) |
60 |
| Other (%) |
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| Total(%) |
100 |
|
| Course Book (s) and/or References |
1. Draper, N. R. and Smith, H., 1996, Applied Regression Analysis, New York.
2. Ünver, Ö. ve Gamgam, H. 2008 Uygulamalı TEMEL İSTATİSTİK YÖNTEMLER, Seçkin Yayınevi, Ankara |
| Work Placement(s) |
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| The Relationship between Program Qualifications (PQ) and Course Learning Outcomes (LO) |
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