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Information
| Code | ZO0044 |
| Name | Applied Regression Analysis |
| Term | 2023-2024 Academic Year |
| Term | Spring |
| 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 Instructor |
1 |
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Unpublished Lecture Notes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 | ||