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About the Programme Academic Staff Program Qualifications Lessons Matrix of Course & Program Qualifications Turkish Qualifications Framework (TQF) TQF & Program Qualifications
  1. Graduate School
  2. Department of Business Administration
  3. Master of Business Administration (MBA) Degree
  4. Program in Quantitative Methods
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  6. Regression Analysis Techniques
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Last Updated: 07/03/2024

Code - Course Title Compulsory/Elective Laboratory + Practice ECTS
SAY517 - Regression Analysis Techniques I. SEMESTER 3 +0 6.0
Language of Instruction Türkçe
Course Type Elective Courses
Course Instructor(s) PROF. DR. HARUN SÖNMEZ
Mode of Delivery
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Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 Description of regression and regression analysis
Week - 2 Two variable regression equation
Week - 3 The estimation of the model using least squares method
Week - 4 The standard error and the variance of the estimates
Week - 5 Correlation coefficient
Week - 6 The assumptions of the least squares estimation method
Week - 7 The Gauss-Markov Theorem
Week - 8 Confidence intervals, hypothesis tests, variance analysis
Week - 9 Regression models without a constant, multiple linear regression analysis
Week - 10 The comparison of two variable regression equation and multiple regression equation
Week - 11 Model estimation in multiple regression analysis and applications
Week - 12 Determination coefficient and the model selection
Week - 13 Obtaining the model using matrixes
Week - 14 Obtaining the model using matrixes

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Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 40
Final Exam 1 60
Toplam (%) 100

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