ZO0044 Applied Regression Analysis

6 ECTS - 3-0 Duration (T+A)- . Semester- 3 National Credit

Information

Code ZO0044
Name Applied Regression Analysis
Term 2024-2025 Academic Year
Semester . Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Yüksek Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator


Course Goal / Objective

Regression analysis is a statistical method that is widely applied to both agricultural and biological data.

Course Content

The course covers simple linear regression models and multiple regression analysis methods.

Course Precondition

None

Resources

Unpublished Lecture Notes

Notes

Draper, and Smith, 1992. Applied Regression Anaiysis John Wiley and Sons


Course Learning Outcomes

Order Course Learning Outcomes
LO01 The student learns the methods of regression analysis and the interpretation of its results
LO02 The student learns the methods of correlation analysis and the interpretation of its results
LO03 Learns to make predictions with multiple regression models.
LO04 Learns how regression and correlation analyses are performed with SPSS and MINITAB programming.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal After undergraduate education, increases knowledge in one of the fields of animal breeding and breeding, feeds and animal nutrition, biometrics and genetics. 5
PLO02 Bilgi - Kuramsal, Olgusal Understands the interaction between different disciplines 2
PLO03 Bilgi - Kuramsal, Olgusal Gains the ability to develop strategic approaches and produce regional, national or international solutions for the field of animal science
PLO04 Bilgi - Kuramsal, Olgusal Zootekni bilimindeki verileri kullanarak bilimsel yöntemlerle bilgiyi geliştirebilme, bilimsel, toplumsal ve etik sorumluluk bilinci ile bu bilgileri kullanabilme becerisini kazanır 5
PLO05 Bilgi - Kuramsal, Olgusal Gains the ability to use and develop information technologies with computer software and hardware knowledge required by the field of animal science. 5
PLO06 Bilgi - Kuramsal, Olgusal Gains the ability to convey their own studies or current developments in the field of animal science to groups in the field or other fields of science, verbally and visually. 4
PLO07 Bilgi - Kuramsal, Olgusal Gains the ability to evaluate the quality processes of animal products
PLO08 Bilgi - Kuramsal, Olgusal Gains the ability to keep animal production dynamic in accordance with changing economic and social conditions.
PLO09 Bilgi - Kuramsal, Olgusal Gains the ability to follow national and international current issues, to follow developments in lifelong learning, science and technology, to constantly renew themselves and to transfer innovations to animal production.
PLO10 Bilgi - Kuramsal, Olgusal Absorbs the relationship between animal products and human health and community welfare


Week Plan

Week Topic Preparation Methods
1 Definition of regression Source Books Öğretim Yöntemleri:
Anlatım
2 Estimation of simple linear regression coefficients and hypothesis testing Source Books Öğretim Yöntemleri:
Anlatım
3 Multiple Regression analysis and related hypothesis testing. Source Books Öğretim Yöntemleri:
Anlatım
4 Comparison of regression lines Source Books Öğretim Yöntemleri:
Anlatım
5 Lack of fit test Source Books Öğretim Yöntemleri:
Anlatım
6 Linearization in Regression Analysis Source Books Öğretim Yöntemleri:
Anlatım
7 Multiple Regression Analysis with Matrix Method Source Books Öğretim Yöntemleri:
Anlatım
8 Mid-Term Exam Source Books Ölçme Yöntemleri:
Yazılı Sınav
9 Polynomial Regression Source Books Öğretim Yöntemleri:
Anlatım
10 Parameter Estimations in Logarithmic and Polynomial Regression Source Books Öğretim Yöntemleri:
Anlatım
11 Analysis of Variance with Regression Method Source Books Öğretim Yöntemleri:
Anlatım
12 Standardization in Regression Source Books Öğretim Yöntemleri:
Anlatım
13 Parametric and Non-Parametric Correlation Coefficients and Tests Source Books Öğretim Yöntemleri:
Anlatım
14 Comparison of Correlation Coefficients Source Books Öğretim Yöntemleri:
Anlatım
15 Applied demonstration of Regression Analysis in SPSS and MINITAB Package programs Source Books Öğretim Yöntemleri:
Anlatım
16 Term Exams Source Books Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Source Books Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 5 70
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 15 15
Final Exam 1 30 30
Total Workload (Hour) 157
Total Workload / 25 (h) 6,28
ECTS 6 ECTS

Update Time: 13.05.2024 01:45