1	Course Title:	REGRESSION ANALYSIS I
2	Course Code:	TBY 5001
3	Type of Course:	Compulsory
4	Level of Course:	Second Cycle
5	Year of Study:	1
6	Semester:	1
7	ECTS Credits Allocated:	2
8	Theoretical (hour/week):	3
9	Practice (hour/week) :	0
10	Laboratory (hour/week) :	0
11	Prerequisites:
12	Recommended optional programme components:	None
13	Language:	Turkish
14	Mode of Delivery:	Face to face
15	Course Coordinator:	Prof. Dr. İLKER ERCAN
16	Course Lecturers:	Prof. Dr. İlker ERCAN Doç.Dr. Deniz SIĞIRLI Doç.Dr. Gökhan OCAKOĞLU Doç. Dr. Güven ÖZKAYA
17	Contactinformation of the Course Coordinator:	Prof. Dr. İlker ERCAN Doç.Dr. Deniz SIĞIRLI Doç.Dr. Gökhan OCAKOĞLU Doç. Dr. Güven ÖZKAYA
18	Website:
19	Objective of the Course:	Introducing regression analysis and regression modelling.
20	Contribution of the Course to Professional Development

21

Learning Outcomes:

1 Determining and modelling the relationship between dependent and independent variables in a scientific research.;

22	Course Content:

Week	Theoretical	Practical
1	Correlation Theory
2	Simple Linear Regression Model-Ordinary Least Square Method
3	Testing Statistical Significance of Estimations
4	Testing Statistical Significance of Estimations
5	Properties of Least Square Estimations
6	Multiple Regression ve Linear Regression Model’s Other Extensions
7	Regression and Variance Analysis
8	Regression and Variance Analysis
9	Randomness, Null Mean, Homoscedastic, and Normality Assumptions of u
10	Autocorrelation
11	Multicollinearity
12	Maximum Likelihood Estimation
13	Three Stages Least Squares
14	Testing Predictive Power of Model

23	Textbooks, References and/or Other Materials:	1)Koutsoyiannis A. Ekonometri Kuramı, Verso Yayıncılık, Ankara, 1989 2)Kunter MH. Applied Linear Statistical Models, 5th edition, Boston: McGraw Hill, 2005.
24	Assesment

TERM LEARNING ACTIVITIES	NUMBER	PERCENT
Midterm Exam	0	0
Quiz	0	0
Homeworks, Performances	0	0
Final Exam	1	100
Total	1	100
Contribution of Term (Year) Learning Activities to Success Grade		0
Contribution of Final Exam to Success Grade		100
Total		100
Measurement and Evaluation Techniques Used in the Course
Information

25

ECTS / WORK LOAD TABLE

Activites	NUMBER	TIME [Hour]	Total WorkLoad [Hour]
Theoretical	14	3	42
Practicals/Labs	0	0	0
Self Study and Preparation	0	0	0
Homeworks, Performances	0	0	0
Projects	0	0	0
Field Studies	0	0	0
Midtermexams	0	0	0
Others	0	0	0
Final Exams	1	20	20
Total WorkLoad			62
Total workload/ 30 hr			2,07
ECTS Credit of the Course			2

26	CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS
PQ1 PQ2 PQ3 PQ4 PQ5 PQ6 PQ7 PQ8 PQ9 PQ10 PQ11 LO1 0 4 4 0 4 3 0 0 0 0 0

LO: Learning Objectives

PQ: Program Qualifications

Contribution Level:

1 Very Low

2 Low

3 Medium

4 High

5 Very High