PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
EKNM 208	REGRESSION ANALYSIS	3 + 0	4th Semester	5,5

COURSE DESCRIPTION

Course Level	Bachelor's Degree
Course Type	Compulsory
Course Objective	The objective of this course is to introduce the regression techniques
Course Content	Covariance, variance and correlation, simple regression, Population and sample regressions Assumptions underlying OLS, testing of restrictions on parameters, testing the significance of correlation coefficient, testing for normality assumption, Multiple regression model, Outliers and extreme values
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

1	Specification of an appropriate regression model
2	Understanding of economic significance of regression model
3	Interpretation of regression model
4	Testing of economic hypothesis on regression model
5	Acquire the skill of using econometric software
6	Making prediction and forecast
7	Using the model for control and policy purposes

COURSE'S CONTRIBUTION TO PROGRAM

	PO 01	PO 02	PO 03	PO 04	PO 05	PO 06	PO 07	PO 08	PO 09	PO 10	PO 11	PO 12
LO 001	5	5	1	1	5	4	2	5	2	5	5	5
LO 002	5	5	2	1	4	4	1	5	3	5	5	5
LO 003	5	5	3	2	5	4	1	5	4	5	4	5
LO 004	5	5	4	3	5	4	1	5	4	5	4	5
LO 005	5	5	5	1	5	5	3	5	4	5	5	5
LO 006	5	5	5	5	5	5	5	5	5	5	5	5
LO 007	5	5	5	5	5	5	5	5	5	5	5	5
Sub Total	35	35	25	18	34	31	18	35	27	35	33	35
Contribution	5	5	4	3	5	4	3	5	4	5	5	5

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION

Activities	Quantity	Duration (Hour)	Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)	14	3	42
Hours for off-the-classroom study (Pre-study, practice)	14	2	28
Assignments	1	13	13
Mid-terms	1	30	30
Final examination	1	30	30
Total Work Load ECTS Credit of the Course			143 5,5

COURSE DETAILS

Select Year

Course Details

Course Code	Course Title	L+P Hour	Course Code	Language Of Instruction	Course Semester
EKNM 208	REGRESSION ANALYSIS	3 + 0	1	Turkish	2023-2024 Spring

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Assoc. Prof. Dr. SİNEM GÜLER KANGALLI UYAR	skangalli@pau.edu.tr		İİBF C0207	%70

Goals		The objective of this course is to introduce the regression techniques
Content		Covariance, variance and correlation, simple regression, Population and sample regressions Assumptions underlying OLS, testing of restrictions on parameters, testing the significance of correlation coefficient, testing for normality assumption, Multiple regression model, Outliers and extreme values

Topics

Weeks	Topics
1	Introduction
2	Determination of Topic of Seminar
3	Literatüre Research on topic
4	Literatüre Research on topic
5	Collection and writing down past Works about topic
6	Determination of variables
7	Stating the hypothesis
8	Searching for daha
9	Midterm
10	Determinating the method of analysis Assumption and checking them
11	Analiz
12	Interpreting
13	Report
14	Seminar

Materials

Materials are not specified.

Resources

Resources	Resources Language
Tüm Ekonometrik, İstatistik ve Ekonomi kitapları	Türkçe

Course Assessment

Assesment Methods	Percentage (%)	Assesment Methods Title
Final Exam	60	Final Exam
Midterm Exam	40	Midterm Exam 1

L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes

Prospective Student